22 results on '"Oliveira, Henrique Fonseca Elias de"'
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2. Agronomic Performance and Technological Attributes of Sugarcane Cultivars Under Split-Irrigation Management.
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Oliveira, Henrique Fonseca Elias de, Arriel, Fernando Henrique, Soares, Frederico Antônio Loureiro, Silva, Edson Cabral da, Mesquita, Marcio, Silva, Thiago Dias, Silva, Jhon Lennon Bezerra da, Sousa, Cleiton Mateus, Silva, Marcos Vinícius da, Carvalho, Ailton Alves de, and Silva, Thieres George Freire da
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SPRINKLER irrigation , *IRRIGATION management , *SPRINKLERS , *AGRICULTURAL productivity , *WATER supply - Abstract
In addition to being an important instrument in the search for increasingly greater productivity, agricultural production with adequate use of irrigation systems significantly minimizes the impact on water resources. To meet high productivity and yield, as well as industrial quality, a series of studies on sugarcane cultivation are necessary. Despite being able to adapt to drought, sugarcane is still a crop highly dependent on irrigation to guarantee the best quality standards. Our study aimed to analyze the agronomic performance and technological attributes of two sugarcane cultivars, evaluating the vegetative and productive pattern, as well as the industrial quality of the cultivars RB92579 and SP80–1816, which were cultivated under split-irrigation management in the Sugarcane Research Unit of IF Goiano—Campus Ceres, located in the state of Goiás in the Central-West region of Brazil. A self-propelled sprinkler irrigation system (IrrigaBrasil) was used, duly equipped with Twin 120 Komet sprinklers (Fremon, USA). The cultivars were propagated vegetatively and planted in 0.25 m deep furrows with 1.5 m between rows. The experiment was conducted in a completely randomized design (CRD), with a bifactorial split-plot scheme (5 × 2), with four replications, where the experimental plots were subjected to one of the following five split-irrigation management systems: 00 mm + 00 mm; 20 mm + 40 mm; 30 mm + 30 mm; 40 mm + 20 mm; or 60 mm + 00 mm. At 60 and 150 days after planting (DAP), the following respective irrigation management systems were applied: 00 mm + 00 mm and 20 mm + 40 mm. Biometric and technological attributes, such as plant height (PH) and stem diameter (SD), were evaluated in this case at 30-day intervals, starting at 180 DAP and ending at 420 DAP. Measurements of soluble solids content (°Brix), apparent sucrose content (POL), fiber content (Fiber), juice purity (PZA), broth POL (BP), reducing sugars (RS), and total recoverable sugars (TRS) were made by sampling stems at harvest at 420 DAP. RB92579 showed total recoverable sugar contents 11.89% and 8.86% higher than those recorded for SP80–1816 under split-irrigation with 40 mm + 20 mm and 60 mm + 00 mm, respectively. Shoot productivity of RB92579 reached 187.15 t ha−1 under split-irrigation with 60 mm + 00 mm, which was 42.16% higher than the shoot productivity observed for SP80–1816. Both cultivars showed higher qualitative and quantitative indices in treatments that applied higher volumes of water in the initial phase of the culture, coinciding with the dry season. Sugarcane cultivar RB92579 showed a better adaptation to the prevailing conditions in the study than the SP80–1816 cultivar. [ABSTRACT FROM AUTHOR]
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- 2024
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3. Deep Learning for Weed Detection and Segmentation in Agricultural Crops Using Images Captured by an Unmanned Aerial Vehicle.
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Silva, Josef Augusto Oberdan Souza, Siqueira, Vilson Soares de, Mesquita, Marcio, Vale, Luís Sérgio Rodrigues, Marques, Thiago do Nascimento Borges, Silva, Jhon Lennon Bezerra da, Silva, Marcos Vinícius da, Lacerda, Lorena Nunes, Oliveira-Júnior, José Francisco de, Lima, João Luís Mendes Pedroso de, and Oliveira, Henrique Fonseca Elias de
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AGRICULTURAL remote sensing ,AGRICULTURAL drones ,CROPS ,AGRICULTURE ,DRONE aircraft ,DEEP learning - Abstract
Artificial Intelligence (AI) has changed how processes are developed, and decisions are made in the agricultural area replacing manual and repetitive processes with automated and more efficient ones. This study presents the application of deep learning techniques to detect and segment weeds in agricultural crops by applying models with different architectures in the analysis of images captured by an Unmanned Aerial Vehicle (UAV). This study contributes to the computer vision field by comparing the performance of the You Only Look Once (YOLOv8n, YOLOv8s, YOLOv8m, and YOLOv8l), Mask R-CNN (with framework Detectron2), and U-Net models, making public the dataset with aerial images of soybeans and beans. The models were trained using a dataset consisting of 3021 images, randomly divided into test, validation, and training sets, which were annotated, resized, and increased using the Roboflow application interface. Evaluation metrics were used, which included training efficiency (mAP50 and mAP50-90), precision, accuracy, and recall in the model's evaluation and comparison. The YOLOv8s variant achieved higher performance with an mAP50 of 97%, precision of 99.7%, and recall of 99% when compared to the other models. The data from this manuscript show that deep learning models can generate efficient results for automatic weed detection when trained with a well-labeled and large set. Furthermore, this study demonstrated the great potential of using advanced object segmentation algorithms in detecting weeds in soybean and bean crops. [ABSTRACT FROM AUTHOR]
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- 2024
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4. Artificial Intelligence Applied to Support Agronomic Decisions for the Automatic Aerial Analysis Images Captured by UAV: A Systematic Review.
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Silva, Josef Augusto Oberdan Souza, Siqueira, Vilson Soares de, Mesquita, Marcio, Vale, Luís Sérgio Rodrigues, Silva, Jhon Lennon Bezerra da, Silva, Marcos Vinícius da, Lemos, João Paulo Barcelos, Lacerda, Lorena Nunes, Ferrarezi, Rhuanito Soranz, and Oliveira, Henrique Fonseca Elias de
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MACHINE learning ,AGRICULTURAL remote sensing ,CONVOLUTIONAL neural networks ,AGRICULTURE ,ARTIFICIAL intelligence ,DEEP learning ,TRADITIONAL farming - Abstract
Integrating advanced technologies such as artificial intelligence (AI) with traditional agricultural practices has changed how activities are developed in agriculture, with the aim of automating manual processes and improving the efficiency and quality of farming decisions. With the advent of deep learning models such as convolutional neural network (CNN) and You Only Look Once (YOLO), many studies have emerged given the need to develop solutions to problems and take advantage of all the potential that this technology has to offer. This systematic literature review aims to present an in-depth investigation of the application of AI in supporting the management of weeds, plant nutrition, water, pests, and diseases. This systematic review was conducted using the PRISMA methodology and guidelines. Data from different papers indicated that the main research interests comprise five groups: (a) type of agronomic problems; (b) type of sensor; (c) dataset treatment; (d) evaluation metrics and quantification; and (e) AI technique. The inclusion (I) and exclusion (E) criteria adopted in this study included: (I1) articles that obtained AI techniques for agricultural analysis; (I2) complete articles written in English; (I3) articles from specialized scientific journals; (E1) articles that did not describe the type of agrarian analysis used; (E2) articles that did not specify the AI technique used and that were incomplete or abstract; (E3) articles that did not present substantial experimental results. The articles were searched on the official pages of the main scientific bases: ACM, IEEE, ScienceDirect, MDPI, and Web of Science. The papers were categorized and grouped to show the main contributions of the literature to support agricultural decisions using AI. This study found that AI methods perform better in supporting weed detection, classification of plant diseases, and estimation of agricultural yield in crops when using images captured by Unmanned Aerial Vehicles (UAVs). Furthermore, CNN and YOLO, as well as their variations, present the best results for all groups presented. This review also points out the limitations and potential challenges when working with deep machine learning models, aiming to contribute to knowledge systematization and to benefit researchers and professionals regarding AI applications in mitigating agronomic problems. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Characterization of Water Bodies through Hydro-Physical Indices and Anthropogenic Effects in the Eastern Northeast of Brazil.
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Scheibel, Christopher Horvath, Nascimento, Astrogilda Batista do, Júnior, George do Nascimento Araújo, Almeida, Alexsandro Claudio dos Santos, Silva, Thieres George Freire da, Silva, José Lucas Pereira da, Junior, Francisco Bento da Silva, Farias, Josivalter Araújo de, Santos, João Pedro Alves de Souza, Oliveira-Júnior, José Francisco de, Silva, Jhon Lennon Bezerra da, João, Fernando Manuel, Deus, Alex Santos de, Teodoro, Iêdo, Oliveira, Henrique Fonseca Elias de, and Silva, Marcos Vinícius da
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WATER management ,BODIES of water ,EFFECT of human beings on climate change ,WATER supply ,WATER consumption - Abstract
Brazil, despite possessing the largest renewable freshwater reserves in the world (8.65 trillion m
3 annually), faces growing challenges in water management due to increasing demand. Agriculture, responsible for 68.4% of water consumption, is one of the main drivers of this demand, especially in the São Francisco River Basin, where irrigation accounts for 81% of total water withdrawals. Water bodies play a crucial role in sustaining ecosystems and supporting life, particularly along the East-West axis of Alagoas, a water-rich region in the ENEB. This study aimed to map and quantify the spatiotemporal variations of water bodies in the ENEB region and assess the impacts of human activities using MODIS satellite data, applying hydrological indices such as NDWI, MNDWI, and AWEI. Between 2003 and 2022, significant variations in the extent of water bodies were observed, with reductions of up to 100 km2 during dry periods and expansions of up to 300 km2 during wet seasons compared to dry periods. AWEI and MNDWI proved to be the most effective indices for detecting water bodies with MODIS data, providing accurate insights into water dynamics. Additionally, the MapBiomas Rios dataset, despite being resampled from a 30 m to a 500 m resolution, offered the most accurate representation of water bodies due to its methodology for data acquisition. Changes in albedo and surface temperature were also detected, highlighting the influence of climate change on the region's water resources. These findings are crucial for guiding the sustainable management of water resources, not only in Alagoas but also in other regions of Brazil and similar semi-arid areas around the world. The study demonstrates the hydrological variability in the state of Alagoas, indicating the need for adaptive strategies to mitigate the impacts of climate change and anthropogenic pressures, supporting the need for informed decision-making in water resource management at both local and national levels. [ABSTRACT FROM AUTHOR]- Published
- 2024
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6. CARACTERÍSTICAS HIDROLÓGICAS DE CHUVAS PARA CONSERVAÇÃO DE SOLOS E ÁGUA NA CIDADE DE GOIÁS (GO)
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Castro, Larissa Santos, primary, Machado, Roriz Luciano, additional, Frazão, Joaquim José, additional, Rezende, Cássia Cristina, additional, Andrade, Aline Franciel de, additional, Ferreira, Elizabete Alves, additional, and Oliveira, Henrique Fonseca Elias de, additional
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- 2021
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7. Seasonality of Biophysical Parameters in Extreme Years of Precipitation in Pernambuco: Relations, Regionalities, and Variability
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Bezerra, Alan Cézar, primary, Silva, Jhon Lennon Bezerra da, additional, Silva, Douglas Alberto de Oliveira, additional, Nascimento, Cristina Rodrigues, additional, Ribeiro, Eberson Pessoa, additional, Galvincio, Josiclêda Domiciano, additional, Silva, Marcos Vinícius da, additional, Oliveira, Henrique Fonseca Elias de, additional, Mesquita, Márcio, additional, Oliveira-Júnior, José Francisco de, additional, Almeida, Alexsandro Claudio dos Santos, additional, Lopes, Pabrício Marcos Oliveira, additional, and Moura, Geber Barbosa de Albuquerque, additional
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- 2023
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8. DESENVOLVIMENTO INICIAL DE MUDAS DE BARUZEIRO (Dipteryx alata Vog) EM FUNÇÃO DE SUSBTRATOS E LÂMINAS DE IRRIGAÇÃO
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Oliveira, Henrique Fonseca Elias de, primary, Souza, Cléber Luiz de, additional, Campos, Hugo de Moura, additional, Mesquita, Marcio, additional, Machado, Roriz Luciano, additional, Vale, Luiz Sérgio Rodrigues, additional, and Buso, Wilian Henrique Diniz, additional
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- 2020
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9. Geospatial Insights into Aridity Conditions: MODIS Products and GIS Modeling in Northeast Brazil.
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Silva, Jhon Lennon Bezerra da, Silva, Marcos Vinícius da, Jardim, Alexandre Maniçoba da Rosa Ferraz, Lopes, Pabrício Marcos Oliveira, Oliveira, Henrique Fonseca Elias de, Silva, Josef Augusto Oberdan Souza, Mesquita, Márcio, Carvalho, Ailton Alves de, Cézar Bezerra, Alan, Oliveira-Júnior, José Francisco de, Ferreira, Maria Beatriz, Cavalcante, Iara Tamires Rodrigues, Silva, Elania Freire da, and Moura, Geber Barbosa de Albuquerque
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DESERTIFICATION ,ARID regions ,MACHINE learning ,THEMATIC maps ,STATISTICAL correlation ,HEAT of formation ,GEOGRAPHIC information systems ,GEOSPATIAL data - Abstract
Northeast Brazil (NEB), particularly its semiarid region, represents an area highly susceptible to the impacts of climate change, including severe droughts, and intense anthropogenic activities. These stresses may be accelerating environmental degradation and desertification of soil in NEB. The main aim of this study was to gain geospatial insights into the biophysical parameters of surface energy balance and actual evapotranspiration on a multi-temporal scale, aiming to detect and analyze the spectral behavioral patterns of areas vulnerable to degradation processes, based on thematic maps at the surface, for NEB and mainly the semiarid region of NEB from 2000 to 2019. Geospatial data from 8-day MODIS sensor products were used, such as surface reflectance (Terra/MOD09A1 and Aqua/MYD09A1), surface temperature (Terra/MOD11A2 and Aqua/MYD11A2), and actual evapotranspiration (Terra/MOD16A2 and Aqua/MYD16A2), version 6. Therefore, in this study, pixel-to-pixel values were processed by calculating the average pixel statistics for each year. From the reflectance product, digital processing of the surface albedo and spectral vegetation indices was also carried out, using computational programming scripts and machine learning algorithms developed via the Google Earth Engine (GEE) platform. The study also presents a seasonal analysis of these components and their relationships over 20 years. Through vegetation indices and statistical correlations, a new predictive model of actual evapotranspiration was developed. The quantitative and spatiotemporal spectral patterns of the parameters were assessed through descriptive statistics, measures of central tendency and dispersion, and statistical error analyses and correlation indices. Thematic maps highlighted the pixel-to-pixel results, with patterns of high temperature distribution mainly in the central and northeastern part of NEB and the semiarid region of NEB, highlighting the formation of persistent heat islands over time. Meanwhile, in these areas, the maps of actual evapotranspiration showed a drastic reduction due to the lesser availability of energy. Over time, the semiarid region of NEB presented areas with little and/or no vegetation cover, which were highly well-defined between the years 2012 and 2019, confirming that these areas are extremely vulnerable to degradation and desertification processes due to significant loss of vegetative and water resilience. The components of energy balance were highly interconnected to climatological and environmental conditions, showing the severe results of drought and accentuation of the water deficit in NEB, presenting a greater condition of aridity in the semiarid region of NEB over time. [ABSTRACT FROM AUTHOR]
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- 2024
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10. Crecimiento, calidad industrial y balance de nutrientes de cultivares de caña de azúcar bajo fertilización en el Cerrado
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Cintra, Pedro Henrique Martins, Machado, Roriz Luciano, Arriel, Fernando Henrique, Oliveira, Henrique Fonseca Elias de, Soares, Frederico Antonio Loureiro, Oliveira, Ana Paula Santos, and Rabelo, Kassia Cristina de Caldas
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Fertilidad del suelos ,Saccharum officinarum ,Equilibrio nutricional ,Nutrição de plantas ,Nutritional balance ,Soil fertility ,Plant nutrition ,Fertilidade do solo ,Nutrición vegetal ,Balanço nutricional - Abstract
This paper aimed to evaluate the response of sugarcane cultivar to the addition of increasing NPK doses in Oxisol, in Ceres municipality, Goiás State (GO), Brazil, in the 2018/2019 harvest. The first experiment was in completely randomized design (CRD) in 2x4x7 split-plot scheme with two cultivars (RB92579 and SP801816), four fertilizer NPK 05-25-25 doses (0, 250, 500, and 750 kg ha-1) in seven evaluation periods (every two months) with four replicates. In the experiment end-cycle, there was no period factor, setting a 2x4 fatorial arrangement, also with four replicates. The growth variables were: (a) number of tillers (NT); (b) plant height (PH); (c) culm diameter (CD); (d) number of green leaves (GL); and (e) number of buds (NB). The end-cycle variables were: (a) ton of culms per hectare (TCH); (b) °Brix; (c) apparent sucrose content in the broth (Pol); and (d) total recoverable sugars (TRS). The phosphorus (P) and potassium (K) nutrient balance in the soil and in the crops was also evaluated. The variables CD, GL and NB no showed significant interaction for cultivation x fertilization. TCH did not differ for treatments. The fertilization influenced the ºBrix, Pol, FC, and TRS. For the RB92579 cultivar, the response was linear for oBrix, Pol, and TRS. Maximum tillering occurred at 150th day after planting (DAP) in the RB92579 cultivar and was linear for SP801816 cultivar. The maximum technical efficiency of NPK 05-25-25 doses for the RB92579 and SP801816 cultivars vary from 455.6 to 750 and 442.7 to 750 kg ha-1, respectively. The RB92579 showed higher yield (9.7% - TCH) than SP801816 cultivar. Doses from 500 kg ha-1 showed a positive balance for K and P, respectively, for sugarcane plant, under this study conditions. El presente trabajo tuvo como objetivo evaluar la respuesta de cultivares de caña de azúcar a la adición de dosis crecientes de NPK en Ceres (GO) en Oxisol en la zafra 2018/2019. El diseño fue completamente al azar en una parcela dividida en tiempo de 2x4x7, con dos cultivares (RB92579, SP801816), cuatro dosis de fertilizante (0, 250, 500 y 750 kg ha-1 de NPK 05-25-25) y siete periodos de evaluación, con cuatro repeticiones. Al final del ciclo, no hubo factor tiempo, configurando un arreglo factorial 2x4, con 4 repeticiones. Las variables de crecimiento fueron: número de macollos (NM), altura de la planta (AP), diámetro del tallo (DT), número de hojas verdes (NHV) y número de yemas (NY); y al final del ciclo, tonelada de tallos por hectárea (TTH), Brix, contenido aparente de sacarosa en el caldo (Pol) y azúcares recuperables totales (ART). También se evaluó el balance de nutrientes para P y K. Las variables DT, NHV y NY no difirieron estadísticamente para cultivo x fertilización. El TTH no difirió para los tratamientos. El NM máximo se produjo 150 días después del plantio en el cultivar RB92579 y fue lineal para SP801816. La fertilización influyó en Brix, Pol y ART. Para RB92579, la respuesta fue lineal para Brix, Pol y ART. Las dosis máximas de eficiencia técnica para RB92579 y SP801816 varían de 455,6 a 750 y de 442,7 a 750 kg ha-1, respectivamente. RB92579 tiene un TTH más alto (9,7%) que SP801816. Las dosis de NPK 5-25-25 de 500 kg ha-1 muestran un balance positivo para K y P, respectivamente, para la planta de caña en las condiciones del estudio. O presente trabalho teve como objetivo avaliar resposta de cultivares de cana-de-açúcar à adição de doses crescentes de NPK em Ceres (GO) em Latossolo Vermelho na safra 2018/2019. O delineamento foi inteiramente casualizado em parcela subdividida no tempo 2x4x7, sendo duas cultivares (RB92579, SP801816), quatro doses de adubação (0, 250, 500 e 750 kg ha-1 de NPK 05-25-25) e sete épocas de avaliação, com quatro repetições. No final de ciclo, não houve o fator épocas, configurando um arranjo fatorial 2x4, com 4 repetições. As variáveis de crescimento foram: número de perfilhos (NP), altura de plantas (AP), diâmetro de colmo (DC), número de folhas verdes (NF) e número de gemas (NG); e as de final de ciclo, tonelada de colmos por hectare (TCH), °Brix, teor de sacarose aparente no caldo (Pol) e açúcares totais recuperáveis (ATR). Avaliou-se também o balanço de nutrientes para P e K. As variáveis DC, NF e NG não diferiram estatisticamente para cultivar x adubação. TCH não diferiu para os tratamentos. O NP máximo ocorreu aos 150 dias após plantio na cultivar RB92579 e foi linear para SP801816. A adubação influenciou ºBrix, Pol e ATR. Para RB92579, a resposta foi linear para Brix, Pol e ATR. Doses de máxima eficiência técnica para RB92579 e SP801816 variam de 455,6 a 750 e 442,7 a 750 kg ha-1, respectivamente. RB92579 apresenta maior (9,7%) TCH que SP801816. Doses NPK 5-25-25 a partir de 500 kg ha-1 apresentam balanço positivo para K e P, respectivamente, para cana-planta nas condições do estudo.
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- 2020
11. Identificación de Pivotes Centrales y Microcuencas en el Municipio de Cristalina, Goiás: Apuntes sobre las Reglas para la Concesión del Uso Del Agua
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Cessa, Raphael Maia Aveiro, Oliveira, Henrique Fonseca Elias de, Leite, Caio Vinicíus, Cometti, Nilton Nélio, Zonta, Everaldo, Mesquita, Marcio, and Campos, Hugo de Moura
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Central pivot ,Pivô central ,Vazões consuntivas ,Consumptive flows ,Exhutory ,Exutório ,Flujos de consumo ,Bacia hidrográfica ,Hydrographic basin ,Cuenca hidrográfica ,Exhutoria ,Pivote central - Abstract
The knowledge of the characteristics of the hydrographic basins of a region is characterized as information to aid decision making related to the various economic and social activities, such as water supply, power generation and availability of water for irrigation. In this sense, the present study aimed to identify in the municipality of Cristalina, Goiás, the number of central pivots present in the hydrographic micro basins, making notes on the rules for granting abstraction flows through estimates. For this purpose, the computational application ArcMap 10.5 and satellite images Sentinel-2 and Shuttle Radar Topography Mission were used to identify the number of central pivots and microbasins in that municipality in Goiás. Data provided by the State Secretariat for the Environment, Water Resources, Infrastructure, Cities and Metropolitan Affairs and the Hydroweb System of the National Water Resources Information System were also used. One hundred forty-seven microbasins were identified in the municipality of Cristalina, Goiás, which were grouped into classes, according to their areas. Between 2010 and 2017, 204 central pivots were installed, which corresponded to an increase of 77.56% in the municipality's irrigated area. The average intake flow estimated by the central pivot was 72.73 m3 h-1, resulting in an increase in the demand for water abstraction of 14,836.92 m3 h-1 in the evaluated period. The data obtained will contribute to the application of the consumptive flow granting rules, if the Q95 values are established in their outlets, allowing a more adequate number of equipment installed in the microbasins. El conocimiento de las características de las cuencas hidrográficas de una región se caracteriza como información para ayudar a la toma de decisiones relacionadas con las diversas actividades económicas y sociales, como el suministro de agua, la generación de energía y la disponibilidad de agua para riego. En este sentido, el presente estudio tuvo como objetivo identificar en el municipio de Cristalina, Goiás, el número de pivotes centrales presentes en las microcuencas hidrográficas, anotando las reglas para el otorgamiento de caudales de extracción a través de estimaciones. Para ello, se utilizó la aplicación computacional ArcMap 10.5 e imágenes satelitales Sentinel-2 y Shuttle Radar Topography Mission para identificar el número de pivotes centrales y microcuencas en ese municipio de Goiás. También se utilizaron datos proporcionados por la Secretaría de Estado de Medio Ambiente, Recursos Hídricos, Infraestructura, Ciudades y Asuntos Metropolitanos y el Sistema Hydroweb del Sistema Nacional de Información de Recursos Hídricos. Se identificaron 147 microcuencas en el municipio de Cristalina, Goiás, las cuales fueron agrupadas en clases, de acuerdo a sus áreas. Entre 2010 y 2017 se instalaron 204 pivotes centrales, lo que correspondió a un incremento del 77,56% en la superficie regada del municipio. El caudal medio de captación estimado por el pivote central fue de 72,73 m3 h-1, resultando en un incremento en la demanda de captación de agua de 14,836,92 m3 h-1 en el período evaluado. Los datos obtenidos contribuirán a la aplicación de la normativa de concesión de caudal consuntivo, si se establecen los valores de Q95 en sus salidas, permitiendo un número más adecuado de equipos instalados en las microcuencas. O conhecimento das características das bacias hidrográficas de uma região caracteriza-se como uma informação de auxílio às tomadas de decisão relacionadas às diversas atividades econômicas e sociais, como abastecimento de água, geração de energia e disponibilidade de água para a irrigação. Neste sentido o presente trabalho objetivou identificar no município de Cristalina, Goiás, a quantidade de pivôs centrais presentes nas microbacias hidrográficas, fazendo apontamentos às regras de outorga das vazões de captação por meio de estimativas. Para tal, utilizou-se do aplicativo computacional ArcMap 10.5 e imagens de satélite Sentinel-2 e Shuttle Radar Topography Mission para identificar o número de pivôs centrais e de microbacias no referido município goiano. Utilizaram-se ainda dados fornecidos pela Secretaria de Estado de Meio Ambiente, Recursos Hídricos, Infraestrutura, Cidades e Assuntos Metropolitanos e do Sistema Hidroweb do Sistema Nacional de Informações sobre Recursos Hídricos. Foram identificadas 147 microbacias no município de Cristalina, Goiás, as quais foram agrupadas em classes, segundo suas áreas. Entre os anos de 2010 a 2017 foram instalados 204 pivôs centrais, o que correspondeu a um aumento de 77,56% na área irrigada do município. A vazão média de captação estimada por pivô central foi 72,73 m3 h-1, resultando em um aumento da demanda de captação de água de 14.836,92 m3 h-1 no período avaliado. Os dados obtidos contribuirão para a aplicação das regras de outorga de vazões consuntivas, caso sejam estabelecidos os valores de Q95 nos seus exutórios, permitindo um número mais adequado de equipamentos instalados nas microbacias.
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- 2020
12. Calidad de las semillas de okra producidas bajo diferentes profundidades de riego
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Santos, Evaldo Alves dos, Vale, Luís Sérgio Rodrigues, Oliveira, Henrique Fonseca Elias de, Miranda, Tamires Martins, Mello, Carlos Eduardo Leite, Souza, Anderson Dias Vaz de, and Leal, Vanessa Nunes
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Quebra de dormência ,Potencial fisiológico ,Vigor ,Fuerza ,Rompiendo la latencia ,Abelmoschus esculentus L. Moench ,Physiological potential ,Dormancy break - Abstract
The analysis of the seed vigor has stood out for allowing greater precision, standardization, objectivity and speed in the evaluation of the physiological potential of seeds. The variation of the irrigation depth in the plant, can lead to expressive results in obtaining superior product. The final population of this crop in the field is directly proportional to the seed germination rate. In this sense, the objective of this work was to evaluate the quality of Santa Cruz and Speedy okra seeds produced under different irrigation depths. The design was randomized blocks with a 5 x 2 factorial (five irrigation depths: 25, 50, 75, 100 and 125% of ETc and two okra cultivars: Santa Cruz and Speedy) and four replications. At 70 days after anthesis, the fruits were harvested and the seeds were extracted and the moisture degree, varietal purity, thousand seed mass, accelerated aging test, germination pattern and electrical conductivity of seeds were tested. With the increase in irrigation depths, there was less seed germination for the two okra cultivars. The 100 and 125 ETc irrigation depths provided less electrical conductivity of the seeds for the two okra cultivars. Larger blades indicate greater rigidity of the seed coat. The okra cultivar Speedy responded with an increase in the Degree of moisture of the seeds and in the Mass of a thousand seeds up to the blade of 75% of the ETc. El análisis del vigor de la semilla se ha destacado por permitir una mayor precisión, estandarización, objetividad y rapidez en la evaluación del potencial fisiológico de las semillas. La variación de la profundidad de riego en la planta, puede conducir a resultados expresivos en la obtención de un producto superior. La población final de este cultivo en el campo es directamente proporcional a la tasa de germinación de la semilla. En este sentido, el objetivo de este trabajo fue evaluar la calidad de las semillas de okra Santa Cruz y Speedy producidas bajo diferentes profundidades de riego. El diseño fue en bloques al azar con un factorial de 5 x 2 (cinco profundidades de riego: 25, 50, 75, 100 y 125% de ETc y dos cultivares de okra: Santa Cruz y Speedy) y cuatro repeticiones. A los 70 días después de la antesis, se cosecharon los frutos y se extrajeron las semillas y se evaluó el grado de humedad, pureza varietal, masa de mil semillas, prueba de envejecimiento acelerado, patrón de germinación y conductividad eléctrica de las semillas. Con el aumento de la profundidad del riego, hubo menos germinación de semillas para los dos cultivares de okra. Las profundidades de riego de 100 y 125 ETc proporcionaron menos conductividad eléctrica de las semillas para los dos cultivares de okra. Las hojas más grandes indican una mayor rigidez de la capa de la semilla. El cultivar de okra Speedy respondió con un aumento en el Grado de humedad de las semillas y en la Masa de mil semillas hasta la lámina del 75% de la ETc. A análise do vigor de semente tem se destacado por permitir maior precisão, padronização, objetividade e velocidade na avaliação do potencial fisiológico de sementes. A variação da lâmina de irrigação na planta, pode levar a resultados expressivos na obtenção de produto de qualidade superior. A população final desta cultura em campo é diretamente proporcional à taxa de germinação das sementes. Neste sentido, o objetivo deste trabalho foi avaliar a qualidade de sementes de quiabo Santa Cruz e Speedy produzidas sob diferentes lâminas de irrigação. O delineamento foi em blocos casualizados com fatorial de 5 x 2 (cinco lâminas de irrigação: 25, 50, 75, 100 e 125% da ETc e duas cultivares de quiabo: Santa Cruz e Speedy) e quatro repetições. Aos 70 dias após a antese os frutos foram colhidos e as sementes extraídas e realizados os testes grau de umidade, pureza varietal, massa de mil sementes, teste de envelhecimento acelerado, teste padrão de germinação e condutividade elétrica de sementes. Com o aumento das lâminas de irrigação houve menor germinação de sementes para as duas cultivares de quiabo. As lâminas de irrigação de 100 e 125 da ETc proporcionaram menor condutividade elétrica das sementes para as duas cultivares de quiabo. Maiores lâminas indicam maior rigidez do tegumento das sementes. A cultivar de quiabo Speedy respondeu com aumento do Grau de umidade das sementes e da Massa de mil sementes até a lâmina de 75% da ETc.
- Published
- 2020
13. Crescimento, qualidade industrial e balanço de nutrientes de cultivares de cana-de-açúcar sob adubação no Cerrado
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Cintra, Pedro Henrique Martins, primary, Machado, Roriz Luciano, additional, Arriel, Fernando Henrique, additional, Oliveira, Henrique Fonseca Elias de, additional, Soares, Frederico Antonio Loureiro, additional, Oliveira, Ana Paula Santos, additional, and Rabelo, Kassia Cristina de Caldas, additional
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- 2020
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14. Identificação de Pivôs Centrais e Microbacias no Município de Cristalina, Goiás: Apontamentos às Regras de Outorga do Uso de Água
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Cessa, Raphael Maia Aveiro, primary, Oliveira, Henrique Fonseca Elias de, additional, Leite, Caio Vinicíus, additional, Cometti, Nilton Nélio, additional, Zonta, Everaldo, additional, Mesquita, Marcio, additional, and Campos, Hugo de Moura, additional
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- 2020
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15. Qualidade de sementes de quiabo produzidas sob diferentes lâminas de irrigação
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Santos, Evaldo Alves dos, primary, Vale, Luís Sérgio Rodrigues, additional, Oliveira, Henrique Fonseca Elias de, additional, Miranda, Tamires Martins, additional, Mello, Carlos Eduardo Leite, additional, Souza, Anderson Dias Vaz de, additional, and Leal, Vanessa Nunes, additional
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- 2020
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16. Identification of Areas Irrigated by Central Pivot in the State of Goiás, Brazil
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Silva, Welvis Furtado da, primary, Oliveira, Henrique Fonseca Elias de, additional, Oliveira, Manoel Henrique Reis de, additional, Ávila, Eloisa Aparecida da Silva, additional, Santos, Evaldo Alves dos, additional, Silva, Rafael Matias da, additional, Oliveira, Rafaela Santos de, additional, Sousa, Antônio Evami Cavalcante, additional, Brito, Gustavo Henrique Mendes, additional, Pereira, Leandro Spíndola, additional, Costa, Estevam Matheus, additional, and Ventura, Matheus Vinicius Abadia, additional
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- 2019
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17. Application of controlled-release nitrogen fertilizer in irrigated common bean crops
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Oliveira, Renato Augusto de, primary, Buso, Wilian Henrique Diniz, additional, Gomes, Leandro Lopes, additional, Martins, Pedro Henrique Marques, additional, Rodovalho, Renato Souza, additional, and Oliveira, Henrique Fonseca Elias de, additional
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- 2019
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18. IDENTIFICAÇÃO DE ÁREAS IRRIGADAS POR PIVÔ CENTRAL E LINEAR MÓVEL NO ESTADO DO RIO GRANDE DO SUL
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Manke, Emanuele Baifus, primary, Faria, Lessandro Coll, primary, Pereira, Moisés Gomes, primary, Nörenberg, Bernardo Gomes, primary, Caldeira, Tamara Leitzke, primary, and Oliveira, Henrique Fonseca Elias de, primary
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- 2017
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19. DESENVOLVIMENTO INICIAL DE MUDAS DE BARUZEIRO (Dipteryx alata Vog) EM FUNÇÃO DE SUSBTRATOS E LÂMINAS DE IRRIGAÇÃO
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Oliveira, Henrique Fonseca Elias de, primary, De Souza, Cléber Luiz, primary, Félix, Danilo Vieira, primary, Fernandes, Leandro Da Silva, primary, Xavier, Polliany Santos, primary, and Alves, Lucas Magalhães, primary
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- 2017
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20. INFLUÊNCIA DO CUSTO DA ENERGIA ELÉTRICA E DO MATERIAL DA TUBULAÇÃO NA VELOCIDADE ECONÔMICA DE BOMBEAMENTOS
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Perroni, Bruno Leite Teixeira, primary, Coll Faria, Lessandro, additional, Carvalho, Jacinto De Assunção, additional, and Oliveira, Henrique Fonseca Elias de, additional
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- 2015
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21. DESENVOLVIMENTO E QUALIDADE DO MELÃO CULTIVADO NO SISTEMA HIDROPÔNICO SOB DIFERENTES SUBSTRATOS E FORMATO DO LEITO DE CULTIVO
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Sandri, Delvio, primary, Rinaldi, Maria Madalena, primary, Souza, Marizete Rodrigues de, primary, Oliveira, Henrique Fonseca Elias de, primary, and Teles, Leison Martins, primary
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- 2007
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22. The evaluation of gridded weather datasets and ORYZAv3 model for tropical rice in Brazil
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Menezes, Caio Teodoro, Heinemann, Alexandre Bryan, Oliveira, Henrique Fonseca Elias de, and Castro, João Rodrigo de
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Yield ,Grains ,Crop simulation models ,AGRONOMIA::CIENCIA DO SOLO [CIENCIAS AGRARIAS] ,Oryza sativa L ,Grãos ,Produtividade ,Modelos de simulação de cultura - Abstract
No Brasil, o arroz é produzido em ambiente subtropical e tropical, no ambiente subtropical a produção está mais consolidada, ao passo que no ambiente tropical ainda há uma maior instabilidade na produção, por conta de fatores ambientais e socioeconômicos. Uma forma de sanar essa instabilidade é através de estudos com modelos de simulação de culturas, uma vez que estes são sensíveis às condições ambientais e de manejo. Desta forma, esse estudo objetivou primeiro avaliar bancos de dados climáticos utilizados em modelos de simulação de cultura, bem como a interação desses dados com o solo e, posteriormente, avaliar a possibilidade de uso do modelo ORYZA (v3) para a região de arroz tropical. No primeiro capítulo são avaliados os bancos de dados de estações meteorológicas virtuais Daily Gridded e NASA/POWER, bem como a sua aplicação no modelo ORYZA (v3), utilizando arroz de sequeiro na região tropical simulado em solo arenoso e argiloso. No segundo capítulo, é feita a calibração e parametrização de dois cultivares de arroz irrigado para a região tropical de modo a checar a viabilidade do modelo ORYZA (v3) para estudos na região tropical. Verifica-se no primeiro capítulo que as estações virtuais são confiáveis apenas para condições em que não há déficit hídrico, devido às incertezas geradas pela interpolação da variável precipitação. Esse erro aparenta ser maior quando as simulações ocorreram em solos arenosos. No segundo capítulo é feita a calibração de dois cultivares de arroz irrigado, BRS Catiana e IRGA 424, utilizando dados de ensaios conduzidos em Goianira-GO, mostrando um bom ajuste do modelo aos ensaios utilizados na calibração. Na etapa da validação observa-se um viés do modelo em função da latitude, com tendência de subestimar resultados em estados mais ao norte e superestimar próximo ao ponto de calibração. Esse viés torna incerto a aplicação do modelo em toda a região tropical. In Brazil, there are two main rice producing regions, subtropical and tropical. In the subtropical region, production is more stable whereas in the tropical region it is still unstable. This difference is caused by environmental and social factors. One way to improve this situation is by using crop models since they can capture environmental and management interactions. This study aims to assess, first, the gridded weather database (GWD) used as an input in crop modelling. Verifying the feasibility of DailyGridded and NASA/POWER datasets in ORYZA (v3) crop model, using upland rice in the tropical region considering sandy and clay soil conditions. In the second phase, we calibrate and validate two rice crops for the tropical region so their feasibility in studies on tropical region could be checked. In the first chapter, it is observed that both GWD are more reliable only when there is no drought stress, due to uncertainties created by GWD-based rainfall. This error is higher in sandy soil conditions. In the second chapter, two rice crops, BRS Catiana and IRGA 424, are calibrated using data from two trials carried out in Goianira-GO, showing a good agreement in this step. On the validation step, we observe a yield bias as a function of latitude, with a tendency to overestimate results in places nearby the calibration area and underestimate them on locations further north. For those reasons these calibrated crops are not indicated to be used in studies regarding the tropical region. Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq
- Published
- 2021
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