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This paper revisits the debate on the relationship between farm size and utilisation of agricultural land. Since the 1960s, a large number of studies have been examining this relationship and suggesting possible explanations supporting their thoughts. Three significant hypotheses exist in the literature forwarded by different scholars in this regard: an inverse relationship, a positive and a U-shaped one. Using the recent data from the Agriculture Census of India, this paper attempts to analyse the spatio-temporal trends of the relationship between farm size and land utilisation and examine the hypotheses and explanations already advanced, taking a state-level analysis in India. We found an inverse relationship where smaller farms are more fully and intensively used compared to the larger farms; however, the increasing share of unutilised land among the small and medium farms in the recent decade of 2005–2006 to 2015–2016 indicates a losing ground of small farmers because of ongoing agrarian distress. [ABSTRACT FROM AUTHOR]

Introduction: There is a global priority to ensure food security, environmental conservation and sustainability. The adoption of inputs such as organic manures, biofertilisers, and biopesticides has been widely promoted as a way to enhance agricultural sustainability, yet their adoption rates remain notably low. The study examines the determinants and impact of the adoption of multiple sustainable inputs by paddy farmers in India. The study also examines the drivers behind the intensity of their adoption and their technical efficiency. Methods: The study utilises the survey dataset on paddy farmers from "Situation Assessment of Agricultural Households and Land and Livestock Holdings of Households in Rural India" of the 77th National Sample Survey (NSSO) round. The reference period for data collection was the agricultural year from July 2018 to June 2019. The analytical methods employed include the Multivariate Probit and Ordered Probit models, Seemingly Unrelated Regression, Regression Adjustment model, and Stochastic Frontier method. Results: The empirical findings reveal that the adoption and intensity of sustainable inputs depend significantly on factors such as the household head's age and education, household size, and access to extension services. Adopting sustainable inputs has significant benefits, such as increased harvest value. However, the currently available technical advisory services are limited in effectively promoting the expenditure on sustainable inputs. Technical efficiency analysis underscores the potential for improvement and the importance of utilising optimal input levels. The research findings provide strong evidence in favour of advocating for the use of sustainable inputs in paddy farming. [ABSTRACT FROM AUTHOR]

Proper utilization of agricultural land is a big challenge as they often laid over as waste lands. Farming is a significant occupation in any country and improving it further by promoting more farming opportunities will take the country towards making a huge leap forward. The issue in achieving this would be the lack of knowledge of cultivable land for food crops. The objective of this work is to utilize modern computer vision technology to identify and map cultivable land for agricultural needs. With increasing population and demand for food, improving the farming sector is crucial. However, the challenge lies in the lack of suitable land for food crops cultivation. To tackle this issue, we propose to use sophisticated image processing techniques on satellite images of the land to determine the regions that are capable of growing food crops. The solution architecture includes enhancement of satellite imagery using sophisticated pan sharpening techniques, notably the Brovey transformation, aiming to transform dull satellite images into sharper versions, thereby improving the overall quality and interpretability of the visual data. Making use of the weather data on the location observed and taking into factors like the soil moisture, weather, humidity, wind, sunlight times and so on, this data is fed into a generative pre-trained transformer model which makes use of it and gives a set of crops that are suitable to be grown on this piece of land under the said conditions. The results obtained by the proposed fusion approach is compared with the dataset provided by the government for different states in India and the performance was measured. We achieved an accuracy of 80% considering the crop suggested by our model and the predominant crop of the region. Also, the classification report detailing the performance of the proposed model is presented. [ABSTRACT FROM AUTHOR]

AbstractThis article investigated the economic impact of adopting organic soil fertility measures (OSFM) on millet farming outcomes in rainfed regions of rural India. Using survey data from 900 millet farmers, the analysis applied an endogenous switching regression model to correct for selection bias arising from both observable and unobservable factors. The results indicated that factors such as soil type, use of farmyard manure, crop diversification, gender of the household head, access to agricultural resources, proximity to residence and markets and education levels significantly influenced farmers’ adoption of OSFM. Notably, the adoption of OSFM had a positive and statistically significant impact on farm profits, with OSFM adopters gaining ₹5998 more than nonadopters. The average treatment effect on the treated for OSFM was 9.80% higher than for non-OSFM farmers. These findings reinforcing the importance of promoting OSFM practices in similar rainfed farming regions of the country. [ABSTRACT FROM AUTHOR]

Under global change and climate variations, determining the impacts of climate change and human activities on cropland net primary productivity (NPP) in Bangladesh, India and Myanmar (BIM) is of great significance for identifying yield-limiting factors, making adaptive agricultural management plans, and improving yields. Based on the GLOPEM-CEVSA model, through an integration of remote sensing data and LAI simulation, we investigated the impacts and spatiotemporal changes of water and human activities on BIM from 1982 to 2015. Three types of cropland NPPs were considered: actual NPP (NPPA), NPP affected by temperature and water (NPPWT), and NPP only affected by temperature (NPPT). Our analysis revealed that the water factor plays a predominant role in determining the NPP level in the BIM. Temperature variability was found to be conducive to NPPT, exhibiting an increasing trend of 10.66 g C m–2 yr–1. However, this trend was partially offset by precipitation variability, resulting in a net increase of 0.96 g C m–2 yr–1. In comparing temperature-driven NPP to temperature and water-driven NPP, water stress caused NPPT to decrease by 65.46% compared to NPPWT for the entire region. Cropland NPP in northwestern India and the central Deccan Plateau were significantly affected by water stress. Moreover, the influence of water on NPP in the BIM exhibited a substantial upward trend from 1982 to 2015, with Myanmar experiencing the most significant increase. The gap between NPPWT and NPPA in BIM demonstrated a notable decreasing trend during the same period, underscoring the positive impact of human activities on NPP. Inferences drawn from our findings suggest that with the implementation of rational and efficient crop management practices, there is a 36.80% potential improvement in NPPA compared to NPPWT in the BIM region, with India and Myanmar showing potential increases of 39.20% and 38.29%, respectively. These insights provide guidance for practical measures aimed at water resource management to enhance cropland productivity in the BIM, and they present a methodology for quantifying the effects of climatic changes and human activities at a regional scale. [ABSTRACT FROM AUTHOR]

Using data from a survey of farm households in the Indian state of Uttar Pradesh and employing a sequential logit model, this paper has investigated the impact of farmers' participation in the Direct Benefit Transfer (DBT) subsidy scheme for micro-irrigation on crop performance. The findings show that over 91% of the farmers were aware of the scheme, 61% of them registered as potential beneficiaries and two-thirds of them actually benefitted from it. Registration is the critical transition stage for participation in the DBT scheme. Our findings show that conditional upon the ownership of tube-wells and water pumping devices, several personal and household-level factors such as age, education, access to information and membership of village-level organizations distinguish the beneficiaries of DBT from the non-beneficiaries. There appears no selection bias in the scheme as neither the farm size nor the social status of potential beneficiaries appeared significant in the sequential selection process. Further, the findings show that controlling for the farm and farmer characteristics, the DBT scheme has a positive and statistically significant impact on crop yield as well as net returns, but more on the latter implying its role in reduction in the cost of production. These findings imply the need to expand DBT scheme for its greater impact on farm income and inclusiveness. [ABSTRACT FROM AUTHOR]

Soil microarthropods play a crucial role in agricultural ecosystems and are necessary for the upkeep of fertile and productive soils. Limited knowledge exists regarding the composition of soil microarthropod communities in changing agricultural and impervious land use systems. Hence, we conducted a comparative analysis of the soil microarthropod diversity in shifting cultivation and impervious land areas, as well as the surrounding natural forest ecosystem in Aizawl, Mizoram, northeast India. Additionally, we evaluated the influence of shifting cultivation and impervious land use regimes on the diversity of these microarthropods. The investigation was done between 2022 and 2023. Soil and litter samples (n=50) were gathered from three distinct land use systems. The soil microarthropods were extracted using the Berlese funnel method. Microarthropod taxa were identified down to the most specific taxonomic level feasible. The variety of soil microarthropods was significantly affected by the practice of shifting cultivation and in the impervious land areas, in comparison to the natural forest system. The soil chemical profiles were notably altered in the shifting agriculture and impermeable land use systems, indicating their detrimental effects on soil microarthropod diversity. This study presented the startling information on the diversity of soil microarthropods and their relationship with the land-use systems in Mizoram, a region in northeast India. [ABSTRACT FROM AUTHOR]

The agricultural productivity and sustainability in Eastern Gangetic Plain Zones of India are threatened because of the inefficiency of current production practices, shortage of resources, and socioeconomic constraints. We hypothesized the potential impact of intensified cereal systems with mung bean as a third crop within the annual cropping cycle. We assessed economic, social, and environmental indicators for intensified and current cropping system management practiced by different farm types in the region using the FarmDESIGN model. Building on a farm typology constructed for the region in our past research, we used five types of farmers: part-time (PT), well-endowed (WE), small-scale (SS) crop and livestock mix, medium-scale (MS), and resource-poor farmers (RP) in this study. The performance indicators of the 229 original cropping systems cultivated within the 43 farms varied strongly in the eight performance indicators. This variability of cropping systems performance within the farm types resulted in the absence of significant differences between the types. Compared to the original cropping systems, the intensified cropping systems with mung bean not only performed high in dietary energy (DE) production and organic matter (OM) inputs into the soil but also had high application rates of biocides and minimized losses of nitrogen (N). The intervention systems were low in labor requirement and scored at an intermediate level for crop gross margin, water use, and greenhouse gas (GHG) emissions. The ranges of areas of maize- and rice-based systems that could be replaced by intensified systems were largest for the WE and RP farm types. This was reflected in large ranges of change in the performance indicators, but no significant differences in response were found between the farm types. The intensification of maize- and rice-based systems with the proposed intervention cropping systems involving mung bean would result in increased profitability, higher DE yield, and lower requirements for labor and water as the proportion of the farms being converted increases. However, the use of biocides would increase, while the intervention cropping systems would have no significant effect on OM input, GHG emissions, and soil N losses. [ABSTRACT FROM AUTHOR]

The conversion of forest to agricultural land has been a major worldwide concern and a cause of deterioration of soil quality. The study examined the influence of land uses on the soil quality index (SQI) using minimum datasets (MDS) constructed from soil profiles through two methods namely, additive (SQIa) and weighted (SQIw). In this study, 29 geo-referenced soil profiles (116 layers) up to a depth of 150 cm were collected in Northeastern India, representing forest, jhum, jhum fallow, and agricultural land uses. Principal component analysis (PCA) with multiple correlation analysis is found to be a suitable statistical method for selecting the key soil quality indicators. From PCA, organic carbon (OC), sand, clay, available P and available S were selected as soil quality indicators in MDS. Our results showed that these MDS significantly varied within the profiles depending on the land-uses. The estimated values of SQIs showed that SQIa was higher than SQIw across the soil depths and land-uses. For the surface soil, SQIa values were in the order of forest (2.97) > jhum fallow (2.82) > agriculture (2.68) > jhum land (1.97) and for profile soil jhum fallow (2.38) > forest (2.37) > agriculture (2.33) > jhum (1.88). Similarly, SQIw followed the trend of forest > jhum fallow > agriculture > jhum for all the three studied depths. The statistical analysis showed that the surface, subsurface, and profile soil had no significant impact on SQIw for agriculture, fallow jhum, and forest. The overall data indicated that jhum land had a significantly lower SQI than other land-uses for all soil depths. From this study, the information generated can be useful to assess the soil quality in different land-uses for managing soil health in similar areas of the Northeastern region of India. The findings are also useful in the ecosystems in which soils develop in an acid edaphic environment. [ABSTRACT FROM AUTHOR]

The lives of rural households are predominantly based on agriculture and its allied activities. However, there are signs of an agricultural crisis resulting in dependence on alternative sources of income. This paper analyzes the factors that influence the decision of farm households to participate in non-farm activities for alternative income. The official data for two years on the Situation Assessment Survey of Agricultural Households are explored and a pooled probit regression model is run to examine the determinants of income diversification. Our findings reveal that farm income and irrigated land negatively influence diversification. However, diversification of those having lower access to farm holdings, socioeconomic deprivation, and improved access to education, informal credit, and crop insurance point out positive participation in non-farm enterprises. In addition, the population belonging to hilly and coastal plain regions and the age group 30–64 years are more likely to diversify. [ABSTRACT FROM AUTHOR]

Background: Buffaloes (Bubalus bubalis) have an immense importance in rural economy by virtue of their high production potential as triple purpose animal. Application of scientific technologies can further lead to significant productivity enhancement in buffaloes. Hence, the study was aimed to investigate adoption and effect of urea-molasses multinutrient block (UMMB) supplementation on buffalo productivity in rural areas of Punjab, India. Methods: An expost-facto research design was employed to collect data from selected buffalo farmers (N-501) through personal interview by using pretested research instrument. Based on the response, the buffalo farms were categorized as technology adopter farms (TAF) and non-adopter farms (TNAF). The effect of UMMB supplementation on productivity was evaluated by considering various productive and reproductive parameters of buffaloes. Both parametric and non-parametric statistical tests were employed to analyse the data by using SPSS software. Result: The results indicated that the buffalo farms (36.93%; 185/501) following an additional supplementation with UMMB had significantly (p<0.05) higher average daily milk yield per animal and lowered values of all reproductive parameters. This has proved the viability of UMMB technology at buffalo farms in study area. The study revealed that the technology plays valuable role in buffalo productivity enhancement, hence should be recommended to the government and propagated through vigorous activities at grassroot level to improve adoption. [ABSTRACT FROM AUTHOR]

Surface soil moisture (SSM) at high spatial resolution is an essential land parameter for agricultural applications like irrigation mapping, scheduling, crop water stress assessment, etc. However, available satellite derived soil moisture products are inadequate for meeting the requirements of agricultural applications due to coarse scale soil moisture (~10–40 km). In this article, we developed an operational framework for first of its kind sub-km (~500 m) operational soil moisture product over India by utilizing ISRO’s EOS-04 C-band synthetic aperture radar (SAR) data based on active-passive approach. The potential of EOS-04 SAR for sub-km scale is demonstrated and tested over major cropland sites covering highly heterogeneous and dynamic crop conditions in different agro-climatic regions over India which shows a good agreement with in situ datasets with mean ubRMSE, ranging from 0.051 to 0.078 m³ /m³. [ABSTRACT FROM AUTHOR]

This manuscript provides low-cost smart irrigation for agricultural land using IoT. For irrigation purposes, using a farmland manual system is time-consuming and risky. Agriculture is the most important occupation in India because villagers are primarily dependent on agriculture. We offer a solution to overcome traditional shortcomings. Farmland houses are Embedded by sensors through the node's microcontroller MCU. The statistics are handled with the microcontroller and sent to the cloud server. It acts as a bridge to send statistics through cell phones. The valve is activated using information acquired from signals sent to a cell phone. This increases performance and saves a lot of water. The hardware configuration becomes advanced and is examined within the farmland. The advantage is that the yields get enhanced for farmers. [ABSTRACT FROM AUTHOR]

Natural Farming represents an agro-ecological methodology for farming that emphasizes regenerative practices with an aim to promote holistic ecological balance and reduce the dependence on external inputs as well as financial resources. Substantial concern has recently arisen over the need to promote agroecosystems that are more sustainable in order to improve the deteriorating soil health as well as reversing the yield plateau of crop. So, the current on farm field experiment was executed comprising of 8 treatments with different combination of natural farming inputs (Ghanjeevamrit, Jeevamrit, Beejamrit), organic fertilizer (such as FYM), integrated nutrient management (NPK, FYM, Azotobacter and Azolla) and in-organic(NPK) to examine and compare the consequence of natural farming inputs, organic fertilizer and in-organic dosage of fertilizer on soil nitrogen uptake, soil physicochemical properties, soil biological properties, soil microbial population and crop yields in a rice-wheat cropping system over two crop seasons 2021–23 [rice (Pusa-1509) and wheat (HD-3086)]. The study results demonstrated that there was significant (p  <  0.05) increase in the soil’s nitrogen availability and nitrogen uptake with the use of natural farming inputs as compared to control treatment, whereas, natural farming treatments (TNF1, TNF2, TNF3, TMNF) were inferior than integrated nutrient management (TINM) and recommended doses of fertilizer (TRDF) treatment in case of nitrogen uptake by both rice and wheat crop. The soil enzymatic activity (Dehydrogenase, β-glucosidase, and urease), soil microbial biomass carbon and nitrogen, and soil microbial population (Bacteria, fungi, and actinomycetes) were significantly (p  <  0.05) higher in treatment receiving natural farming inputs compare to in-organic fertilizer and organic fertilizer. A positive and significant correlation was observed between potential mineralization nitrogen and soil enzymatic activity (Dehydrogenase, β-glucosidase, and urease), soil microbial biomass carbon and nitrogen and soil microbial population (Bacteria, fungi, and actinomycetes). The crop yield at the end of experiment recorded to be highest in treatment TINM (75% RDF (In-organic)  +  25% RDF (FYM)  +  BGA) i.e., (Rice4.76  t/ha and Wheat- 5.82  t/ha) compared to TRDF and TNF. A crop yield reduction of 14.2% was observed in treatment receiving natural farming inputs compare to TINM. A significant increase in crop yield was observed in TMNF (Jeevamrit (25%)  +  Ghanjeevamrit (25%)  +  50% RDF through FYM  +  Beejamrit) compare to Tc (Control) and TFYM (Farmyard manure). Therefore, our study suggests that adoption of natural farming inputs over time can facilitate the enhancement of soil biological health of Inceptisol of Trans Gangetic Plain of India. [ABSTRACT FROM AUTHOR]

Tamil Nadu is one of India's most agriculturally developed states, but has high-income inequality and indebtedness among its farmers. This study explores the dynamics of farm indebtedness among farmers in the Cauvery Delta Zone of combined Tamil Nadu state and Puducherry Union Territory. Resonating with the state-level trend, income inequality among the sampled farm households is significantly high, with a Gini coefficient of 0.56, and it decreases with an increase in farm size. Similarly, 80% of farmers are indebted, with the incidence of indebtedness, extent of indebtedness and proportion of institutional loanees increasing with farm size. Though all categories of farmers have considerable access to institutional credit, large farmers can fulfil all their credit needs through institutional sources, while small landholders have to fulfil almost 30% of their credit needs through non-institutional sources. Elderly farmers, large landholders and farm households with more dependent members are more prone to indebtedness than their counterparts, while farm households earning more income and possessing more assets are less prone to indebtedness. Various production, weather, market and institutional constraints deter farmers from repaying their outstanding loans, resulting in a vicious cycle of indebtedness. Therefore, farmers and youth of small farm households should improve their alternative employment opportunities by utilizing the state-sponsored skill development programmes and enhance their financial accessibility by availing Kisan Credit Cards. [ABSTRACT FROM AUTHOR]

The foundation of the Indian economy is agriculture, the amount of land available for agricultural activities has decreased due to numerous factors. To fulfill the demands of the expanding population, the maximum yield must be produced on the least amount of land that is accessible. To overcome the challenges of agriculture, many researches have been carried out to adopt technology into agriculture. As India is one of the world's top producers of Mangoes and has a vast market, and has encouraged extensive Mango farm development. Automatic yield estimation of Mangoes in the early stage is important to improve the quality and quantity of production which improves both domestic and export markets. The work proposes a fast region (FR) based convolutional neural network (CNN) residual network (ResNet)-50 model for efficient deep learning-based Mango crop yield estimation system to count the Mango fruit from the images of individual trees. A temporal Mango fruit database is used to estimate the yield of on tree Mango fruits, and a framework is provided to estimate Mango fruit yield in red, green, and blue (RGB) image. This experiment shows that the suggested FRCNN ResNet-50 model attained a better accuracy of 98.20% on the proposed dataset. [ABSTRACT FROM AUTHOR]

This article aims to identify potential sites for agricultural use in the state of Manipur of north east India by employing the analytic hierarchy process in a geographic information system environment in conjunction with the use of remote sensing and soil data. Within the analytic hierarchy process, each terrain variable underwent a pairwise comparison and criteria weights were assigned according to their relative importance. Eight variables were selected and used in land suitability analysis for agriculture. It was found that Manipur had 57% (12,660 km2) of its total geographical area suitable for agriculture. However, 8126 km2 (37%) and 1374 km2 (6%) of the total geographical area was currently and permanently unsuitable land respectively. The distribution of suitable land varied greatly, with highly, moderately and marginally suitable land covering only 8%, 16% and 33% respectively of the total geographical area. The highly suitable agricultural land is predominantly concentrated in the Imphal valley (70%), though 90% of moderately suitable and 96% of marginally suitable land also exist in the hills. The hilly areas constitute 96% and 97% respectively of currently unsuitable and permanently unsuitable land in the state. Suitable land comprises of land with low to medium altitude, gentle to moderate slopes, soil of fine or acceptable quality, and with minimal flood risk. Unsuitable lands tend to be diametrically opposite to these attributes with steep hill slopes. The nature of distribution of land suitability types influences the agricultural pattern in Manipur. Agriculture in the hill areas comprises mainly of shifting cultivation on hill slopes, whereas in the valley region it is irrigated and permanent. This analysis of Manipur has a wider applicability since the shifting cultivation-irrigated agriculture combination is similar to that which exists across much of the highlands of South East Asia. [ABSTRACT FROM AUTHOR]

The state of India was situated on fertile land and river deltas with appropriate agricultural land. In 2019, agricultural fields, primarily cropland, occupy more than 40% of the country's total surface area. Moreover, agricultural industry revenues less than 3% of the country's Gross Provincial Product (GPP). While manufacturing has become the country's major financial activity, accounting countries represent half of GPP's revenues. The objective of the study is to find a way to improve the financial profitability and efficiency of farming supply chain networks as follows: (1) Fixation of national-level targets for zonal-level groups information after assessment and forecasts that affect production and distribution of agriculture. (2) Producers risk can be reduced by directing people to multiple factory and industrialization options based on market assessment. (3) Insurance costs and reduction of bank borrowing by standardizing the connection between bankers and producers using the structure to centralise land information. (4), Stabilize the agricultural sector by looking at nearby potential destinations for production and regulation of the Public Distribution System (PDS) flow for the security stock. In this paper, the novel ML target prediction algorithm to inform the farmers about the market target product and improve the relationships between the farmer and bankers for centralizing the information about recent government plans. The crop prediction ML algorithm proposed to improve the revenue of agriculture field. [ABSTRACT FROM AUTHOR]

Limited information is available on the greenhouse gas (GHG) emission rates in the peri-urban agricultural systems. This information is necessary for the changing paradigm of climate-smart agriculture with less carbon footprint. The decreasing trends in water availability, agricultural area and productivity, and negative changes in agricultural land use patterns make agriculture, especially fruit and vegetable cultivation in peri-urban areas of Hyderabad city, in India, highly vulnerable to climatic variations. Hence a study was contemplated to develop a methodological framework to study the changes in land, water and energy use and their impact on GHG emissions and, thereby, on agricultural production and productivity. Variations in GHG emissions and carbon credit in the identified peri-urban sites were calculated using the accounting framework with respect to changes in land use and energy usage. [ABSTRACT FROM AUTHOR]

Farmers' debt is a major issue in India's current agricultural environment. It is widely considered as one of the main obstacles to rural development. A decrease in agricultural output and a worsening of socio-economic opportunity disparities are the results. In the 77th cycle of the NSS, from January to December 2019, the situational assessment of agricultural households and land and holdings of households in rural India-2019 performed. In each of these surveys, information on household debt was gathered. Approximately 35% of rural families (45.1% of agricultural households and 21.5% of non-agricultural households) reported spending money on fixed capital. In metropolitan areas, 15% of families reported spending money on fixed capital formation (25.3% self-employed households, 11% other households), the debt percentage of cultivators is higher than that of non-cultivators in rural India. This demonstrates the farmer's descent into debt. Government should initiate the over-come indebtedness not only urban area but also rural area of state. Government programs have a significant impact on farmers' decisions therefore the study may offer advice to policymakers on effective ways to raise knowledge about debt reduction among farmers and rural residents. Financial incentives, such as a 0% interest rate, might go a long way toward enlightening rural farmers. [ABSTRACT FROM AUTHOR]

As a part of the Himalayan mountains, the North East Hill (NEH) region of India is geophysically dynamic and seismotectonically active since its formation about 55 million years ago with a head-on collision of the Indian plate and the Eurasian plate. The region still has been underthrusting at a rate of 4.5–5 cm/year causing the reshaping and changing of its geophysical characteristics (geology, geomorphology, relief, slope gradient, drainage system, etc.), whereas anthropogenic activities, particularly shifting cultivation and technological intervention, have caused changes or degradation of the ecological environment (air, land, water, vegetation, crop pattern, climate, wildlife, etc.). Addressing this burning geoecological problem, a geospatial technology-based case study from the Kohima district of Nagaland in the North East Hill region of India is presented here. Through the development and integration of multiple GIS modules, this reconnaissance study suggests that continuous seismic activities (about 27 seismic events/year) along tectonic faults, thrusts, and lithological shear zones have been reshaping and changing the geophysical environment, whereas the ecological environment has been changing or degrading due to decreasing natural landscape and habitats (forest area, water bodies, and shrubs) at an annual rate of 5.91 km2 (0.60%), increasing built-up area, agricultural land, and wasteland at an annual rate of 2.73 km2 (0.28%), 2.69 km2 (0.27%), and 0.49 km2 (0.05%) respectively. Results also suggest that environmental degradation results in accelerated trends of climate change (rising temperature at the rate of 0.13 °C/year, decreasing annual rainy days at the rate of 2 days/year, decreasing annual rainfall at the rate of 9.55 cm/year, mounting climatic zones at the rate of 175 m/year) and its adverse impacts (increasing extreme rainfall events at the rate of 3 events/year and causing cloud burst, erosion, landslides, and floods) in the region. [ABSTRACT FROM AUTHOR]

A proper understanding of soil parameters under different production systems of the world is necessary for efficient soil management. We, therefore, carried out the present study to assess the status of some selected soil properties (soil pH and electrical conductivity (EC)), phyto-available nutrients (available nitrogen (AN), available potassium (AK), exchangeable calcium (Ex. Ca), exchangeable magnesium (Ex. Mg), available sulfur (AS), and soil organic carbon (SOC) pools (SOC, total organic carbon (TOC), very labile C, labile C, less labile C, and non-labile C) and to establish relationships among the measured soil parameters at different depths of Vertisols of India under various land uses. A total of 150 composite soil samples (from 25 plots including nine from agricultural land, nine from horticultural land, three from forest land, and four from grassland) were collected from 6 soil depths viz, 0–10, 10–20, 20–40, 40–60, 60–80, and 80–100 cm under agriculture, horticulture, forest, and grassland land uses present in Central India and analyzed. The values of soil pH, EC, AN, AK, Ex. Ca, Ex. Mg, and AS in various soil depths under different land uses varied widely. The values of SOC (0.19 to 1.00%), TOC (0.58 to 2.42%), very labile C (0.14 to 0.83%), labile C (0.05 to 0.25%), less labile C (0.05 to 0.26%) and non-labile C (0.23 to 1.42%) in various soil depths under different land uses also varied significantly. Forest and grassland land uses had higher levels of SOC, TOC, very labile, and non-labile C content in all the soil depths in comparison to SOC, TOC, very labile, and non-labile C content in different soil depths under agriculture and horticulture land use. The levels of SOC, TOC, very labile, and non-labile C content under all the land uses decreased with increasing soil depths. SOC was positively and significantly correlated with AN, AK, AS, and estimated SOC pools in surface soil layers. Principal component analysis (PCA) of soil parameters in different soil depths resulted in 5 principal components (PCs) with > 1 eigenvalue and accounting for > 75% variability. This information could be used for managing SOC status and phyto-available nutrients in Vertisols under different land uses. [ABSTRACT FROM AUTHOR]

The present study was carried out during a bird race organized in Karanja- Sohol Wildlife sanctuary Karanja, district Washim Maharashtra, India. The objective of this study was to assess the avifauna of wildlife sanctuaries. Due to the geological and ecological complexity of the area, it has become imperative to conduct research on the region's avian diversity. It is challenging to conduct this assessment, as the wildlife sanctuary is divided into numerous patches by the state highway running through it. Sanctuary is surrounded by numerous villages and agricultural land, which creates human interference and livestock grazing. This checklist will serve as a baseline for further study, as there is no published checklist of this area. In the present investigation, we reported a total of 151 bird species during the exhaustive survey by the authors and accompanied volunteers during the census organized by the wildlife department. The observed species of birds belong to 55 families and 17 orders. They also recorded their residential and IUCN red data status. [ABSTRACT FROM AUTHOR]

Over the last three decades, the Government of India (GOI) has used watershed management as a solution to solve issues concerning sustainable agricultural output in rainfed areas. Additionally, since 2003, the GOI has made watershed management a national policy. A lot of thought is given to all of the significant crops that have disappeared from farming systems in the watershed development programs (WDPs) of India's current development plans, which are primarily focused on increasing and sustaining productivity levels. In the Sarguja division of Chhattisgarh, the present study attempted to document the on-site and off-site effects of these watershed development programs, as it observed an increase in the ground water level, a rise in the surface water and stream flow levels, a reduction in runoff as well as in soil erosion, increased agricultural and dairy production, improved livelihood and employment generation, and changes in the land use and farming patterns. These findings showed that the percentage of cropland increased in both Kharif and Rabi, because they started planting crops in Zaid, particularly cucumber, melon, and vegetables, that had been kept fallow. The patterns of land usage in the WDP regions have improved over time; due to farmers utilizing more wasteland for productive reasons, there has been a rise in the net sown area of these locations. Additionally, it has been claimed that many crops that were previously abandoned due to water shortages and other requirements are now being cultivated. Responses from the region's population have been in favor of the introduction of innovative techniques like Agroforestry systems. [ABSTRACT FROM AUTHOR]

The salinization and sodification of agricultural lands in arid and semi-arid regions of the world are two limiting factors in crop production. In India, an area of about 6.72 million ha is salt-affected, of which 3.77 million ha is sodic soil. To evaluate the reclamation potential of soil amendment, a laboratory incubation study was conducted at the Agricultural College and Research Institute, Tiruchirappalli (2022). Different soil amendments, viz., T1-Pongamia GLM @ 6.25 t ha−1, T2-Pressmud @ 10 t ha−1, T3-CSR GROMOR 25 kg ha−1, T4-Marine gypsum 50% GR, T5-Marine gypsum @ 50% GR + Pongamia GLM 6.25 t ha−1, T6-Marine gypsum 50% GR + Pressmud 10 t ha−1, T7-Marine gypsum 50% GR + CSR GROMOR 25 kg ha−1 and T8-Control (no amendments), were used for incubation. After 90 days of incubation, a pot culture using post-incubated soil was raised to study the seedling parameters of green gram, which was laid out in a randomized block design with three replications. The analysis of post-incubated soil using ICP-MS shows higher levels of cations, viz., Ca (+67%), Mg (+65%) and K (+66%), were found in marine gypsum @ 50% GR + CSR GROMOR @ 25 kg ha−1 with lower values of pH (−15%), EC (−63%), ESP (−39%) and Na (−58%) compared to the control. The same treatment recorded higher chlorophyll, relative water content and seedling vigor index I and II in green gram. The results indicated that marine gypsum + CSR GROMOR had a positive impact on reducing soil sodicity and improving soil fertility. [ABSTRACT FROM AUTHOR]

The process of Indian Urbanisation has been taking a different shape due to the emergence of numerous census towns. Existing literature reveals that the phenomenal increase of census town in the last decade does not follow the metropolitan city-based development model rather it is more rooted in the shifting of economic activity from the farm to the non-farm sector. The context of the development of these settlements in India varies widely from state to state. In West Bengal, Murshidabad as a district, known for low economic profile and located far away from the Kolkata Metropolitan area, has experienced high growth rate of census towns, nearly three times in the last decade. This article is trying to identify the processes of urbanisation in the district and whether it follows the contemporary urbanisation theories or not. The study also investigates factors leading to the process of urbanisation. Primary and secondary data have mostly been used for analysis in this article. The paper emphasizes the contribution of contemporary theories that explain the growth of census towns and the role of secondary and primary data in capturing their characteristics. This article finds that agricultural lands are being converted into non-agricultural land due to agricultural distress. Simultaneous out-migration of labourers, especially of younger generation males to other sectors such as construction and itinerant petty trading in other states help to boost non-farm activities, which indirectly ignites the growth of census towns in Murshidabad district. The study also validates theoretical discourse on urbanisation in India. [ABSTRACT FROM AUTHOR]

Integrated fish farming focuses on a variety of agricultural possibilities mainly emphasizing fish farming in conjunction with crop and/or livestock farming. The present study was carried out to examine the influence of such an integrated farming system (IFS) on the livelihood of farmers in the state of Manipur, which is in the Northeastern region of India. Changes in the level of livelihood security and livelihood status were assessed for a sample of 300 farmers, who have adopted four major types of IFS, viz, fish-vegetable crop farming based IFS, fish-paddy crop farming based IFS, fish-vegetable-oilseed crop farming based IFS, and fish-crop-livestock based IFS. The adoption of IFS has increased farmers' economic stability and social standing, and the system is found to be economically feasible and sustainable. Farmers adopting fish-crop-livestock based IFS (primarily fish-piggery-poultry based IFS) have the highest food and nutrition security and overall livelihood security. Out of five livelihood assets (physical, social, financial, human, and natural), IFS has influenced farmers' financial assets holding the most. An overall improvement of 26.83% in the respondents' standard of living is realized by the farmers when they adopted the IFS. Considering the consequences of different types of IFS on farm livelihoods, the most beneficial models like fish and/or crop and/or livestock based IFS may be upscaled as these integrations result in the effective use of the waste products from crop and/or livestock system to produce diverse fish varieties. It has also improved farmers' livelihoods by generating consistent income and employment opportunities. [ABSTRACT FROM AUTHOR]

Background: Agricultural Land Suitability Analysis is one of the dependable method through which crop specific land suitability can be analyzed. Agricultural land suitability analysis for the pearl millet in the Arid Western Plain Zone of Rajasthan was the major focus of the present study. Methods: Nine criteria viz. mean temperature in the growing season (°C), total rainfall (mm), soil phosphorus (kg/h), soil texture, soil pH, soil organic carbon (%), salinity (dS/m), slope of the land (%) and landuse-landcover and their corresponding sub-criteria were selected. Analytic Hierarchical Process (AHP) was performed on the selected criteria through pair-wise comparison matrix and individual weights were determined and represented through Weighted Overlay Analysis (WOA). Result: Temperature in the growing season (20.68%), total rainfall (15.90%) and landuse/ landcover (14.39%) depicted relatively higher weightage with consistency ratio of 0.087. Results obtained from WOA in GIS environment depicted four suitability category namely Highly suitable (S1), Moderately suitable (S2), Marginally suitable (S3) and Restricted (N). Significant percentage of area was categorized under S2 category while S3 category was associated with least area with limitations like relatively higher slope and higher salinity. The proposed model validation was performed with overall accuracy of 88.10% using confusion matrix. [ABSTRACT FROM AUTHOR]

Currently, agroecosystems sustainability is mainly challenged by unsustainable agricultural practices that lead to land degradation and amplified climate change. About 25% of the World's total land area has deteriorated due to improper agricultural land management, resulting in ~24 billion tonnes of annual soil loss. Globally, soil erosion, mainly caused by high‐frequency tilling, crop residue removal or burning, poor pasture management, and inefficient crop rotations, is responsible for >40% of total land deterioration problems. Conservation agriculture (CA) seeks minimum soil disturbance, permanent soil cover, and crop rotation, which are indispensable for soil fertility restoration, carbon stabilization, increased soil biodiversity, and sustainable food production. In the last decades, the global annual adoption rate of CA was 7 M ha yr−1. CA‐based soil and crop management practices enhanced water productivity, soil organic carbon, crop productivity, and energy use efficiency by 18%–66%, 12%–93%, 3.8%–76.2%, and 8.9%–40.2%, respectively, over conventional practices under diverse agroecosystems in India. Hence, adopting CA can avert/minimize the problem of land degradation and food insecurity by improving crop productivity and decreasing soil erosion, energy use, and carbon emission, besides maintaining soil physicochemical and biological health. Moreover, CA can be a sustainable way to ensure global food demand, achieve sustainable development goals (SDGs), and restore soil health, and multiple agroecosystem services. This study aims to provide in‐depth insights into the role of CA in restoring agroecosystem services, attaining SDGs, and ensuring global food security. [ABSTRACT FROM AUTHOR]

Current widespread and intensive soil degradation in India has been driven by unprecedented levels of population growth, large‐scale industrialization, high‐yield agriculture, urban sprawl and the spread of human infrastructure. The damage caused to managed and natural systems by soil degradation threatens livelihoods and local services and leads to national socio‐economic disruption. Human‐induced soil degradation results from land clearing and deforestation, inappropriate agricultural practices, improper management of industrial effluents and wastes, careless management of forests, surface mining, urban sprawl, and ill‐planned commercial and industrial development. Of these, inappropriate agricultural practices, including excessive tillage and use of heavy machinery, over‐grazing, excessive and unbalanced use of inorganic fertilizers, poor irrigation and water management techniques, pesticide overuse, inadequate crop residue and/or organic carbon inputs, and poor crop cycle planning, account for nearly 40% (121 Mha) of land degradation across India. Globally, human activities related to agriculture contribute to the transgression of four of the nine Planetary Boundaries proposed by Rockström et al. (2009): Climate Change, Biodiversity Integrity, Land‐system Change, and altered Phosphorus and Nitrogen Biogeochemical Flows. This review focuses on how knowledge of soil processes in agriculture has developed in India over the past 10 years, and the potential of soil science to meet the objectives of the United Nations' Sustainable Development Goal 2: Zero Hunger (End hunger, achieve food security, improved nutrition and promote sustainable agriculture), using the context of the four most relevant Planetary Boundaries as a framework. Solutions to mitigate soil degradation and improve soil health in different regions using conservation agricultural approaches have been proposed. Thus, in this review we (1) summarize the outputs of recent innovative research in India that has explored the impacts of soil degradation on four Planetary Boundaries (Climate Change, Biodiversity Loss, Land‐system Change, and altered Biogeochemical Flows of Phosphorus and Nitrogen) and vice‐versa; and (2) identify the knowledge gaps that require urgent attention to inform developing soil science research agendas in India, to advise policy makers, and to support those whose livelihoods rely on the land. [ABSTRACT FROM AUTHOR]

Potassium (K) helps crop plants to resist biotic and abiotic challenges and plays a vital role in biochemical, metabolic, and physiological processes. Due to intense agricultural practices over the past few decades, the soil K reserve has been observed to be decreasing globally. It is possible to view potassium-solubilizing bacteria (KSB), which uses a number of biological mechanisms to convert potassium from inaccessible forms and make it accessible to crop plants, as a viable method for managing K in soils with low potassium levels. The present study encompasses 44 KSB strains isolated from rhizospheric soils collected from southern Rajasthan, India and characterized based on morphological, biochemical, and molecular profiles. All the isolates exhibited potassium solubilization and were identified using ERIC, BOX, REP PCR, and 16 S rDNA amplification which exhibited significant diversity amongst the strains. A flame-photometric analysis revealed that significant amounts of potassium were released by isolates from muscovite mica on the 21st day of incubation. These KSB strains produced hydrolytic enzymes and plant growth-promoting activities at different environmental stresses. In comparison to the absolute control (control without KSB), maize seedlings grown from bacterized seeds showed an increase in shoot length, root length, leaf number, total chlorophyll content, and the expression of stress-related enzymes. These native strains, which have a variety of advantageous traits, may be able to replace synthetic K fertilizers in order to increase food production while reducing pollution and restoring degraded land for agricultural use. [ABSTRACT FROM AUTHOR]

Agriculture is the primary source of income in the Sub-Himalayan Jalpaiguri District; therefore, identifying the optimal use of existing agricultural land is crucial. The primary objective of this study is to identify potential agricultural sites in the Jalpaiguri District for the sustainable development of the region. About eleven parameters have been considered using the multi-influencing technique in combination with remote sensing (RS) and geographic information system to delineate and model potential agriculture sites. The final agriculture suitability map was created using the 'Weighted Overlay technique,' and the final output can be categorized into five classes, i.e., highly suitability (424.3 km2), moderately suitability (1191.8 km2), marginally suitable (1141.4 km2), currently not suitable (567.1 km2), and permanently not suitable (60.8 km2). Besides, the results have been thoroughly verified using Google Earth images, in comparison with Landsat 8 output, and field visits using GPS to increase the reliability of the results. The finding reveals potential outcomes for agricultural activity; however, building a sustainable management strategy and resilient farming practices should be adopted to boost the region's agricultural output. Farmers, regional planners, and government officials can use the current agriculture suitability map to make comprehensive judgments for the region, such as determining the potential for agriculture sites, improving agricultural growth, and promoting self-reliant local economies. [ABSTRACT FROM AUTHOR]

Burned area estimates are an essential component of inventory-based fire emission calculations, and any inaccuracies in those estimates propagate into the final emission outputs. While satellite-based global burned area and fire emission datasets (e.g. GFED, FireCCI51, and MCD64A1) are frequently cited within the scientific literature and used by a range of users from atmospheric and carbon modelers to policy-makers, they are generally not optimized for cropland burning -- a quintessential small-fire type. Here we describe a new dataset (GloCAB; Global Cropland Area Burned) which 10 represents the first attempt at a global cropland-focused burned area product. The GloCAB dataset provides global, monthly cropland burned area at 0.25° spatial resolution from July 2002 -- December 2020. Crop-specific burned area conversion factors for several widespread burnable crops (winter wheat, spring wheat, maize, rice, and sugarcane) were calculated from extensively-mapped cropland reference regions spanning 190,650 fields over 5 different countries. We found global annual cropland burned area (2003 -- 2020) ranged between 64 Mha (2018) and 102 Mha (2008) with an average of 81 Mha using 15 our lower-bound estimates which are substantially higher than the annual average of 32 Mha in the MCD64A1 C6 product. Region-specific trend analysis found some areas with significant increasing trends (northwest India), while the heterogeneity of many other regions found no burned area trends. This cropland-focused burned area methodology is the first step toward improving the representation of global crop-residue burning emissions -- an often overlooked small-fire source of trace gas and aerosol emissions within global fire emission inventories. [ABSTRACT FROM AUTHOR]

The present study, covering a period of 52 years (1966–2017), explores changes in agricultural land use and its consequences on crop productivity, diversity, and food availability in Haryana, an agriculturally developed state of India. The time series data on different parameters (area, production, yield, etc.) were collected from the secondary sources and analyzed with the help of compound annual growth rate, trend tests (simple linear regression and Mann–Kendall), and change point detection tests such as Pettitt, standard normal homogeneity, Buishand range, and Neumann ratio. Apart from above, the relative share of area and yield to total change in output was determined using decomposition analysis. The results revealed that agricultural land use became intensive and underwent significant alteration with multifold shifting in area from coarse cereals (maize, jowar, and bajra) to fine food grains (wheat and rice). The yield of all crops, especially wheat and rice witnessed a significant increase which subsequently led to an upsurge in their production. However, the production of maize, jowar, and pulses recorded negative growth despite of an increase in their yield. The results also revealed manifold increase in use of modern key inputs during the first two periods (1966–1985), but afterwards input use rate slowed down. Additionally, the decomposition analysis revealed that yield effect remained positive in changing the production of all crops, but area contributed positively only in wheat, rice, cotton, and oilseeds. The major findings of this study imply that the production of crops can be enhanced only through improvement in yield because there is no further scope left for horizontal expansion in cultivable area of the state. [ABSTRACT FROM AUTHOR]

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The globe and more particularly the economically developed regions of the world are currently in the era of the Fourth Industrial Revolution (4IR). Conversely, the economically developing regions in the world (and more particularly the African continent) have not yet even fully passed through the Third Industrial Revolution (3IR) wave, and Africa's economy is still heavily dependent on the agricultural field. On the other hand, the state of global food insecurity is worsening on an annual basis thanks to the exponential growth in the global human population, which continuously heightens the food demand in both quantity and quality. This justifies the significance of the focus on digitizing agricultural practices to improve the farm yield to meet the steep food demand and stabilize the economies of the African continent and countries such as India that are dependent on the agricultural sector to some extent. Technological advances in precision agriculture are already improving farm yields, although several opportunities for further improvement still exist. This study evaluated plant disease detection models (in particular, those over the past two decades) while aiming to gauge the status of the research in this area and identify the opportunities for further research. This study realized that little literature has discussed the real-time monitoring of the onset signs of diseases before they spread throughout the whole plant. There was also substantially less focus on real-time mitigation measures such as actuation operations, spraying pesticides, spraying fertilizers, etc., once a disease was identified. Very little research has focused on the combination of monitoring and phenotyping functions into one model capable of multiple tasks. Hence, this study highlighted a few opportunities for further focus. [ABSTRACT FROM AUTHOR]

Land ownership has long been argued to enhance farm productivity by improving tenure security. But would this hold for female and male owners alike? The relationship between land ownership and productivity has been investigated relatively little from a gender perspective in most regions, with work on Asia being especially sparse. Even less explored are gender differences in the likelihood of landowners self-cultivating as vs. leasing out their land. This paper uses a unique household-level dataset for nine states of India to first assess gender differences in the likelihood of landowners self-cultivating or renting out their land. It then analyses differences in farm productivity between female and male owners who self-cultivate. The effect of caste disadvantage is also explored. We find that women owners are significantly less likely than male owners to self-cultivate their land. This is linked especially to family labour constraints and regional opportunities. However, among those who do self-cultivate, the annual farm productivity per hectare does not differ significantly by the gender of the owner-cultivator. This holds true with or without controlling for other factors. Caste matters, however: Scheduled Caste owner-cultivators of both genders have significantly lower productivity than upper-caste ones. [ABSTRACT FROM AUTHOR]

This paper studies market distortions due to farm support policies. Using a recently implemented Price Deficiency Payments (PDP) policy in India, we examine how PDP affects farm‐gate prices and crop supply. We document a new channel, the fall in reservation price of farmers under PDP, behind the decline in farm‐gate prices. This impact depends on the magnitude of the deficiency payments and can lead to a supply glut and price crash. Empirically, the scheme led to a 4% decrease in farm‐gate prices and a 51% increase in market arrivals for black‐gram, a crop with a high magnitude of PDP. Using bid‐level data on crop auctions, we rule out collusion among the market participants, another potential channel for price crash under PDP. The effects of the policy are transitory and disappear after the policy is withdrawn. In terms of welfare effects, this scheme is associated with a monetary loss of INR 1 billion. We discuss an alternate payment scheme that can reduce such losses. In summary, our results extend the current understanding of PDP schemes and contribute to the optimal design of such policies. [ABSTRACT FROM AUTHOR]

The alteration of land use and land cover caused by human activities on a global scale has had a notable impact on ecosystem services at regional and global levels, which are crucial for the survival and welfare of human beings. Merbil, a small freshwater wetland located in the Brahmaputra basin in Assam, India, is not exempt from this phenomenon. In the present study, we have estimated and shown a spatio-temporal variation of ecosystem service values in response to land use and land cover alteration for the years 1990, 2000, 2010, and 2021, and predicted the same for 2030 and 2040. Supervised classification and the CA-Markov model were used in this study for land-use and land-cover classification and future projection, respectively. The result showed a significant increase in built-up areas, agricultural land, and aquatic plants and a decrease in open water and vegetation during 1990–2040. The study area experienced a substantial rise in ecosystem service values during the observed period (1990–2021) due to the rapid expansion of built-up areas and agricultural and aquatic land. Although the rise of built-up and agricultural land is economically profitable and has increased the study site's overall ecosystem service values, decreasing the area under open water and vegetation cover may have led to an ecological imbalance in the study site. Hence, we suggest that protecting the natural ecosystem should be a priority in future land-use planning. The study will aid in developing natural resource sustainability management plans and provide useful guidelines for preserving the local ecological balance in small wetlands over the short to medium term. [ABSTRACT FROM AUTHOR]

Agriculture is the backbone of Indian economy. India has marked itself self-sufficient in food. But the large population of India is always keeping a constant demand in the market for food. Also, with the growing industrialization and urbanization, agricultural tracts are becoming fewer in number. Hence, the supply of food has put over-utilization of the existing agricultural lands. There has been a constant effort in the research and development sector of agriculture in India. Most of the rural people in India practice agriculture. Artificial Lighting for Plants (ALP) is the concept of growing a plant in light (other than sunlight), with all the other factors like moisture, soil nutrition, etc. Using the ALP device, a farmer can monitor the plants regularly. Also, distinguished light can be executed for different kinds of plants. Hence, ALP device not only lets one to boost the production, but also maintain good health of the plant for ensuring quality as well as quantity. [ABSTRACT FROM AUTHOR]

The investigation study assesses the diversity of bees in Brinjal Solanum melongena L. and Ridge Gourd Luffa acutangula L. crop field from agroforestry ecosystem in South Kangsabati Forest Division, India. The study was carried out in May 2021 to May 2022 that based on transect, focal observation and pan trap samplings. A total of 1,085 individuals were identified during the field work, belonging to three family seven genera (Apis, Tetragonula, Xylocopa, Ceratina, Amegelia, Nomia, and Megachile) and seventeen species, the non Apis bees (63.78%) were most abundant than Apis bees (36.22%). In brinjal, Shannon diversity index of bees is 2.12 and Shannon evenness index is 0.35, whereas, Shannon diversity index in ridge gourd was 1.94 and Shannon evenness index is 0.3. The observations signify greater diversity and population of wild bees. The natural habitat close to agricultural land helps to sustain the diversity and population of wild bees, which enhance the crop quality and yield. [ABSTRACT FROM AUTHOR]

Detailed ground cover information and efficient modelling approaches are needed for estimating soil properties from hyperspectral remote sensing (HRS) data. With the objective to estimate both soil and crop residue (CR) parameters using HRS data from the airborne visible-infrared imaging spectrometer-next generation (AVIRIS-NG) sensor, soil and CR samples were collected from 101 locations in the Western Catchment of Chilika lagoon, India. Nonlinear unmixing and two chemometric models were examined for estimating basic soil properties, nutrient contents, soil and CR wetness, and masses of fresh crop residue (FCR) and dry crop residue (DCR). Both soil and CR parameters showed wide variation with FCR and DCR masses varying from 0 to 13.33 Mg ha−1 and 0 to 10.16 Mg ha−1, respectively. Soils were relatively dry with an average gravimetric water content (θg) of 14% whereas CR moisture content (θc) ranged from 2.4 to 93%. Estimated coefficient of determination (R2) values in the validation datasets varied from 0.51 for soil base saturation to 0.91 for exchangeable Mg+2 using soil spectra obtained through linear polynomial unmixing of AVIRIS-NG spectra. The R2 values were more than 0.70 for clay content, soil organic carbon (SOC), cation exchange capacity (CEC), and several exchangeable cations although the CR parameters showed lower R2 values than soil parameters. With the chemometric models calibrated, high spatial resolution maps for soil and CR parameters were generated, which offer a continuous mapping capability for such parameters. Extensive soil property data also allowed us to evaluate SOC sequestration capability of different land use systems. A critical value of 1/25 for the SOC/Clay content ratio was observed for most of our agricultural land uses and degraded landscapes showed lower SOC/Clay ratios. Thus, high spatial resolution soil and crop residue parameters may be accurately assessed for large areas with multiple land use and soil cover conditions. [ABSTRACT FROM AUTHOR]

In this study, we identified and characterize a plant pathogenic isolate, collected from naturally infested bean (Phaseolus vulgaris var. Anupama) seedlings presenting root rot symptoms from an agricultural land of the Prayagraj district, Uttar Pradesh, India. Based on morphological features, growth characteristics and the ITS sequencing‐based molecular data, the isolate was assumed very closed to the species of the Pythium genera. However, ITS sequencing data and the BLAST results for gene annotation clustered the identified isolate more closely to the Pythium catenulatum (p‐value e‐value), and therefore, confirmed as P. catenulatum. The pathogenicity assay confirmed the role of the isolate as a root rot causing pathogen. Furthermore, the isolate was tested for its growth under in‐vitro conditions against several environmental parameters including temperature, pH, salt, drought and metals. The Biolog FF MicroPlate method assessed the carbon utilization profile and reported the ability of the isolate in utilizing both carbohydrates and amino acids as a primary energy source. Moreover, in‐vitro colony growth inhibition assay performed with different agrochemicals (fungicides and insecticides) and the dyes determined their efficacy in suppressing the growth and development of the isolated pathogen. The dual culture assay of the isolate along with several fungal and bacterial strains confirmed the antagonistic potential of some tested microbes in delimiting the growth of the pathogen. Overall, the study provides a new sustainable, effective and eco‐friendly solution for controlling the root rot pathogen. [ABSTRACT FROM AUTHOR]

A case study was undertaken between 2015–2017 in Tharu tribal-dominated Bakwa Chandraul and Parsauni villages in the West Champaran district of Bihar, India. After initially understanding the socio-economic status and major role of tribal farm women in the home and farm decision-making process, horticulture-based interventions were introduced in homestead gardens managed by the women. Interventions included the introduction of high-yielding hybrids and varieties of vegetables (Bottle gourd, pumpkin, okra, cowpea, cauliflower, cabbage, pea and radish) and fruit (mango, litchi, guava and lime), and training and skill development in vermicomposting, mushroom cultivation, and fruit and vegetable processing. During the study period, the farm women were not only able to produce more for their own family consumption but could also sell the produce in the local market. Horti-based interventions improved productivity and increased farm income by more than 20% among the tribal women selected in this study; thereby providing farm women greater leverage to make purchases for the family. Our study shows how existing farming systems can be refined and fine-tuned through horti-based micro-interventions to increase farm and family income among tribal women, and bring about positive changes in the socio-economic and nutritional condition of tribal farm families. [ABSTRACT FROM AUTHOR]

This paper examines the drivers and impacts of degradation of agricultural land in a village in a South Indian coastal delta. Drawing on insights from political economy and political ecology scholarship, it argues that there is a dialectical relation between land degradation and social inequalities, i.e. the biophysical degeneration of land is not only caused by human and environmental factors but it also generates social contradictions which further intensify both land degradation and social inequalities. The paper demonstrates, firstly, that coastal land degradation has been generated in the form of soil salinity through a confluence of the inherent environmental vulnerabilities of the region, forces of commoditization (especially those associated with shrimp aquaculture), existing social hierarchies and state policy. Secondly, it shows that social groups differentiated by caste, class and gender have experienced these changes differently. A small, relatively well-off section of the locally dominant caste landowners has benefitted from shifting from paddy to shrimp aquaculture, which is leading to a further increase in salinisation. Others have to bear the brunt of decreasing productivity of land for crop cultivation, leading them to abandon or reduce cultivation and increase dependence on non-agricultural sources of income, especially through male outmigration. Women's burden of work has increased while their capacity to earn wage-income has declined. Without any concerted state effort to either restore the land or to alleviate the widespread agrarian distress, land degradation has developed into a continuously evolving downward spiral, but one where there will still be some winners and many losers. [ABSTRACT FROM AUTHOR]

The study was conducted at the Forest College and Research Institute, Mettupalayam, during 2019-2022, to explore new alternative pulpwood species with good paper-making potential. The samples were collected from seeds origin Pterygota alata which were farm grown in Pollachi, India. A total of 12 trees were removed with a specification of four different girth classes (30-45, 45-90, 120-150, 150-180 cm), from that 6 samples were collected from three different radial positions (pith, middle, and periphery) with the dimension of 2x2x2 cm³. Then samples were subjected to microtomy, maceration, and optical analysis. Fibre, vessel, and ray anatomy were studied in the current investigation. Results revealed that the maximum value of fibre length (1458.96 ±3.47 μm), fibre diameter (25.50±1.29 μm), vessel diameter (74.94±0.13 μm), vessels area (47723.47±359.67 μm²), ray height (1731.89±46.89 μm) ray width (165.07±1.41 μm) and ray frequency (5.51±0.02 ray/mm²) were identified at the peripheral region at the girth of 150-180 and 120-150 cm. The study suggested that Pterygota alata could be the prominent alternate species for pulp and paper production. [ABSTRACT FROM AUTHOR]