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Circa 2023, after receiving much hype and investment, two agri-food technologies touted for their world-changing potential, bioengineered animal protein substitutes and vertical (indoor) farms, began to falter economically. Tech sector observers attributed the fall to typical hype cycle dynamics; this paper provides a deeper read. Based on research involving over ninety interviews with agri-food tech sector actors and observation at nearly 100 industry events, we show an unrealized socioecological fix as first conceptualized by Ekers and Prudham. As attempts at preemption, these technologies were able to attract excess capital to an area believed to be in need of fixing, and their backers anticipated and in some cases tried to promote the devaluation of legacy production systems. But the technologies on offer failed to become cost competitive in a timely way since legacy production systems continued to be productive and profitable. It was these new companies that became uncompetitive and overvalued, which in turn turned investments in them into bad ones. Ironically, the agri-food tech sector has eschewed a path which might have made their products competitive, which is social regulation of legacy production systems. Instead they effectively speculated that such systems would implode under their own contradictions.

Panax ginseng C.A. Meyer, a valuable medicinal plant with abundant antioxidants has been used for centuries due to its potential health benefits including boosting of immune system, cognitive function, sexual function and reducing stress. The popularity of ginseng sprouts (GS) is driven by their convenience and ease of use as a ginseng consumption option, particularly when compared to mature ginseng roots. Employing controlled environmental conditions, including the adjustment of artificial lighting and air temperature, presents an appealing approach for cultivating GS of high quality within a condensed timeframe. In this study, we investigated the impact of four distinct day–night temperature difference (DIF) regimes, viz., − 4 DIF (18/22 °C), 0 DIF (20/20 °C), 0 DIF (22/22 °C), and + 4 DIF (22/18 °C), on the morpho-physiology, antioxidant activity, and the accumulation of minerals and ginsenosides in GS. To promote growth parameters, both positive and zero DIF conditions (22/22 °C) were beneficial, however the positive DIF condition played a significant role in enhancing chlorophyll a levels, photosynthetic efficiency, and enzymatic antioxidant activities. Although negative DIF was conducive for mineral accumulation, it had adverse effects on growth, antioxidant activities, and ginsenoside production. The zero DIF, particularly (22/22 °C) has boosted the non-enzymatic antioxidant activities and mineral uptake, while (20/20 °C) has facilitated the ginsenoside synthesis. The significant upregulation of ginsenoside biosynthesis genes further validated the accumulation of ginsenosides under zero DIF conditions. Hence, the present study elucidates the advantageous implications of diverse DIF conditions, offering a potential avenue for enhancing ginseng cultivation in the vertical farming system. [ABSTRACT FROM AUTHOR]

In cities, a mosaic of different types of urban agriculture can be found. However, knowledge about advantages and disadvantages of the different types is still fragmented. This paper introduces an integrative evaluation framework for assessing the environmental, social, and economic sustainability of urban agriculture by applying a multi-criteria analysis based on an Analytic Hierarchy Process and a participatory approach. Based on a German case study and on the examples of vertical farming and community-supported agriculture, the results suggest that sustainable urban agriculture is a multi-dimensional approach informed by strong sustainability that places nature in the focus. Thus, the environmental dimension received the highest weight, followed by the social and, lastly, the economic dimension. Regarding the sub-criteria, species diversity achieved the highest total weight and food quality and safety the lowest. Conceptually, this paper provides scientific fundamentals for a systematic comparative evaluation of different types of agriculture for sustainable urban development. [ABSTRACT FROM AUTHOR]

In this paper, the indoor environment of a small-scale high-density controlled environment agriculture (CEA-HD) space was simulated using computational fluid dynamics. Spatial modelling of the indoor environment considering the influential phenomena (e.g. transpiration and photosynthesis) over the indoor temperature, relative humidity, carbon dioxide (CO2) concentration, and airflow velocity is still challenging. These indoor environment conditions were computed for a 3D model of a CEA-HD experimental space while simultaneously modelling crop airflow impingement, transpiration and photosynthesis. The crops being grown were represented in the model as porous media zones and their exchanges with the indoor air were modelled using user defined functions. The air distribution parameters and configuration were optimized using a simplified 2D model to overcome the steep computational time, and associated cost, of 3D simulation. The objective function of the optimization problem relied on a correlation analysis of the simulation output. The optimization of the 2D model yielded an airfoil configuration that reduced the mean airflow speed and relative humidity variations between the cultivation tiers while achieving higher mean velocities (≈1.9 m⋅s-1) at a lower inlet speed (8 m⋅s-1). The proposed modelling and optimization approach is a small step forward towards model-based design and operation of CEA-HD production spaces. [ABSTRACT FROM AUTHOR]

Sustainable agriculture in the Kingdom of Saudi Arabia (KSA) intends to develop farming practices that maintain productivity while promoting economic viability and preserving environmental resources. Moreover, the country invests in advanced technologies, which include vertical farming and hydroponics, to reduce environmental impact and enhance food security. Globally, the pepper crop is one of the leading agricultural products of human food security. However, it is vulnerable to various diseases such as gray leaf spots, powdery mildew symptoms on pepper leaf, blight leaf disease, common rust, fruit rot disease, etc. Usually, farmers identify the disease through visual inspection; however, this has its drawbacks as it is generally time-consuming and inaccurate. Several research workers have previously presented different pepper plant disease classification techniques, mainly deep learning (DL) and image processing approaches. This paper introduces a novel Pepper Leaf Disease Detection using the Optimal Deep Transfer Learning (PLDD-ODTL) technique for the sustainable agricultural sector in KSA. As a preliminary preprocessing stage, the PLDD-ODTL technique initially utilizes an adaptive window filtering (AWF) approach to eliminate the noise in the plant images. Next, the PLDD-ODTL approach involves a feature fusion process comprising three DL approaches: residual neural network (ResNet), VGG-19, and DenseNet models. To enhance the performance of the DL techniques in biological systems modeling, the hyperparameter selection process is done by a hybrid artificial ecosystem fractal optimizer using a chaos game optimization (ACGO) technique. Finally, a deep belief network (DBN) is applied to classify the disease. A series of experiments were conducted to illustrate the enhanced performance of the PLDD-ODTL technique. The experimental results of the PLDD-ODTL technique portrayed a superior accuracy outcome of 99.71% over existing approaches. [ABSTRACT FROM AUTHOR]

Sustainable food production is becoming essential, and a shift from traditional practices to more responsible alternatives aiming to generate nutritious, safe, and accessible food while minimizing environmental impacts is crucial. This review article discusses the importance of sustainable food production technologies in meeting global food demand while addressing problems regarding climate change. Some of the key technologies include precision agriculture, hydroponics, aquaponics and vertical farming. Precision agriculture uses technology to enhance farming efficiency by gathering data on soil and water variations and optimizing practices like planting, fertilization, and irrigation. Hydroponics and aquaponics are other alternatives for growing plants using as much as 90% less water and producing more food compared to conventional methods, while vertical farming can increase crop yield per land area, particularly in urban settings, due to its potential to reduce the strain on conventional agricultural land suitable for urban regions. Additionally, genetic modification can help create desirable traits of some plants making them plausible to integrate in vertical farming systems, but this requires careful management. Furthermore, nanotechnology is emerging as another method poised to transform agriculture by providing sustainable and efficient solutions for nutrient regulation, plant growth, and disease resistance whereas Agriculture 5.0 combines traditional agriculture with modern technologies to improve sustainable food production. Finally, alternative protein sources, such as plant-based, insects, cultured meat, mycoprotein and microalgae have emerged as a sustainable solution to traditional meat production. Integrating the abovementioned technologies into agricultural practices is crucial for achieving multiple Sustainable Development Goals. [ABSTRACT FROM AUTHOR]

Background: Lablab (Lablab purpureus var. typicus) is one of the important leguminous vegetable crops known for its highest content of protein. The area under cultivation is shrinking due to conversion of farm land into non-agricultural purposes. Under these circumstances, soilless vertical farming system is the only alternate cultivation system for increasing production of vegetables. Media play a major role in growth and yield of vegetables under soilless conditions. With this background, the present experiment was carried out to study the effect of growing media in lablab for high yield and quality under soilless vertical farming systems. Methods: Two lablab varieties viz., CO 5 (V1) and Arka Prasidhi (V2) were raised under five different media combinations viz., 100% cocopeat (M1), 50% cocopeat + 50% Vermicompost (M2), 50% cocopeat + 50 % FYM (M3), 50% cocopeat + 25% vermicompost + 25% FYM (M4) and Control (M5) with three replications during 2021-2022 and 2022-2023. This experiment was laid out in FCRD. The growth and yield parameters were recorded and the data was subjected to statistical analysis. Result: The experimental results revealed that both the varieties and growing media provided significant impact on growth, yield, quality and uptake of nutrients whereas dry matter content exhibited no significant impact among the different media. The pooled season data revealed that variety CO 5 observed for the overall superior performance while the media combination of 50% cocopeat + 50% Vermicompost considered superior for growth and yield characters where 50% cocopeat + 25% vermicompost + 25% FYM showed superiority for the quality parameters and uptake of nutrients. [ABSTRACT FROM AUTHOR]

Leafy vegetables, mainly lettuces, are currently the main crop cultivated in controlled environment agriculture (CEA), including vertical farming and plant factories. There is a rising demand to expand this portfolio with a wider variety of underutilized edible plants containing various bioactive compounds and sensory properties seeking to enrich human diets. However, the optimal cultivation conditions for these underutilized plants significantly differ from those optimized for lettuce, basil, and other popular CEA crops. Therefore, this study aims to explore the impacts of light-emitting diode (LED) lighting intensity (photosynthetic photon flux density, PPFD) on green leaf Perilla frutescens cultivated in CEA. Plants were grown under four levels of LED lighting PPFDs from 150 to 300 µmol m−2s−1 for 4 weeks. Plant biomass productivity, soluble sugar contents, antioxidant properties (DPPH, ABTS free radical scavenging activities, FRAP antioxidant power), and total contents of phenolic compounds in leaves were evaluated at harvesting time. Further, harvested plant material was stored in the dark, at +6 °C, and the water content, water loss and transpiration rate, leaf sugar contents, and antioxidant properties were monitored 1, 3, and 5 days after harvesting. The summarized data suggest that higher cultivation lighting PPFD results in better harvest quality preservation during post-harvest storage. [ABSTRACT FROM AUTHOR]

The rise of high-rise vertical farms in cities is helping to mitigate urban constraints on crop production, including land, transportation, and yield requirements. However, separate issues arise regarding energy consumption. The utilisation of wind energy resources in high-rise vertical farms is therefore on the agenda. In this study, we investigate the aerodynamic performance of an ellipsoidal tall building with large openings to determine, on the one hand, the threshold income wind that could impact human comfort, and on the other, the turbulence intensity at specific locations on the roof and façade where micro-wind turbines could operate. To this end, we calculate the wind pressure coefficient and turbulence intensity of two scale models tested within a wind tunnel facility and compare the results with a separate CFD simulation completed in the past. The results confirm that the wind turbines installed on the building façade at a height of at least z/h = 0.725 can operate properly when the inlet wind speed is greater than 7 m/s. Meanwhile, the wind regime on the roof is more stable, which could yield higher energy harvesting via wind turbines. Furthermore, we observe that the overall aerodynamic performance of the models tested best under wind flowing at angles of 45° and 60° with respect to their centreline, whereas the turbulence at the wind envelope compares to that of the free wind flow at roof height. [ABSTRACT FROM AUTHOR]

This study explores the integration of photovoltaic (PV) shading devices and vertical farming (VF) in school buildings to optimize indoor daylight, thermal comfort, and energy performance across three different climate regions in China: Beijing, Shanghai, and Shenzhen. With rapid urbanization and increasing energy consumption in educational buildings, this research investigates the impact of innovative facade design on both energy efficiency and occupant comfort. Through parametric simulations and multi-objective optimization, various PV and VF facade prototypes were evaluated to determine the best configurations for reducing energy consumption while enhancing thermal and visual comfort. This study optimized facade systems integrating photovoltaic and vertical farming for school buildings in Shenzhen, Beijing, and Shanghai. Key findings include: In Shenzhen, Model B's UDI increased by 5.1% and Model C by 19.02%, with glare areas reduced by 5.4% and 21.40% and stable thermal comfort (PMV 0.52–0.59) throughout the year. In Beijing, Model B's UDI decreased by 0.2%, while Model C increased by 6.55%. Glare areas reduced by 2.92% and 14.35%, with improved winter comfort (PMV −0.35 to −0.1). In Shanghai, Model C's UDI increased by 6.7%, but summer thermal discomfort was notable (PMV up to 1.2). The study finds that PV shading systems combined with vertical farming can provide significant energy savings, reduce greenhouse gas emissions, and offer organic vegetable production within school environments. The findings suggest that integrating these systems into the building envelope can optimize the energy performance of school buildings while improving the comfort and well-being of students and staff. [ABSTRACT FROM AUTHOR]

Cannabis sativa, a versatile plant containing over 150 cannabinoids, is increasingly valued for its medicinal properties. It is classified into hemp and marijuana based on its Δ9-tetrahydrocannabinol (Δ9-THC) content. The objective of this study was to optimize cannabinoid production in hemp within a vertical farming system by investigating the effects of methyl jasmonate (MeJA) on plant growth and specific cannabinoid contents. After propagating hemp plants, they were treated with various concentrations of MeJA (0, 100, 200, and 400 μM). Plant growth parameters, glandular trichome (GT) density, and the contents of specific cannabinoids—cannabidiolic acid (CBDA), cannabidiol (CBD), tetrahydrocannabinolic acid (THCA), and Δ9-THC—were analyzed. The results showed that MeJA treatment decreased plant height and leaf area while increasing GT density and the synthesis of CBDA and THCA at lower concentrations. Specifically, treatment with 100 μM MeJA provided optimal conditions for enhancing cannabinoid production while controlling plant height, which is advantageous for vertical farming. These findings suggest that precise application of MeJA in controlled environments can increase yields of valuable cannabinoids with efficient use of space, thereby enhancing the commercial and medicinal value of hemp. [ABSTRACT FROM AUTHOR]

Within the current scenario of cropland use and forest surface loss, there is a need for the implementation of viable urban farming systems, e.g., indoor vertical farming (VF). Light management is fundamental in VF, although responses to light spectra are often species-specific. As the interest of consumers and farmers towards baby-leaf vegetables has recently increased, this study aimed at assessing the most effective red:blue (RB) ratio for enhanced baby-leaf production of kale (Brassica oleracea). Within an ebb-and-flow system, increasing RB ratios (RB3, RB5, RB7 and RB9) were tested, sharing a photoperiod of 16 h day−1 and a light intensity of 215 μmol m−2 s−1. A larger yield was obtained for plants under RB5, featuring an intermediate B fraction compared to other treatments, with plants displaying more expanded and thinner leaves. Also, for lighting energy and cultivated surface use efficiency, RB5 was the most effective treatment, performing up to 57 g FW kWh−1 and 54 kg FW m−2 y−1, respectively. From multispectral data, a tendency of reduced Fv/Fm and Fq′/Fm′ was observed as the RB ratio increased, while the chlorophyll index was enhanced under RB ≥ 7. This study highlighted the light recipe with an RB ratio of 5 as the most effective lighting mixture for optimal baby-leaf kale production in terms of balanced growth, resource use efficiency and yield. [ABSTRACT FROM AUTHOR]

Controlled Environment Agriculture (CEA) is increasingly used to grow food (namely fruits and vegetables) in controlled indoor conditions. While often billed as "eliminating" the classical food safety concerns associated with open field cultivation of produce, traditional as well as potentially novel microbial food safety risks are a concern for CEA, as supported by a recent salmonellosis outbreak in the U.S. linked to CEA grown produce. In addition, the use of diverse technologies and practices in CEA represents a challenge in efforts to develop food safety guidance. CEA, particularly precision vertical farms, however, have the distinct advantage of being "data intense" and typically have a better data collection and management structure than is found in traditional agriculture. This may position at least part of the industry to use digital tools digital tools and Artificial Intelligence (AI) to manage manage food safety. Possible AI approaches may include adaptive sampling and interventions depending on the presence of risk factors that could be predicted with the routine data generated during CEA operations. This article summarizes challenges and opportunities for using AI and digital approaches to assure microbial food safety and manage food safety related business risks in CEA. [ABSTRACT FROM AUTHOR]

Hydroponic greenhouses and vertical farms provide an alternative crop production strategy in regions that experience low temperatures, suboptimal sunlight, or inadequate soil quality. However, hydroponic systems are soilless and, therefore, have vastly different bacterial microbiota than plants grown in soil. This review highlights some of the most prevalent plant growth-promoting bacteria (PGPB) and destructive phytopathogenic bacteria that dominate hydroponic systems. A complete understanding of which bacteria increase hydroponic crop yields and ways to mitigate crop loss from disease are critical to advancing microbiome research. The section focussing on plant growth-promoting bacteria highlights putative biological pathways for growth promotion and evidence of increased crop productivity in hydroponic systems by these organisms. Seven genera are examined in detail, including Pseudomonas, Bacillus, Azospirillum, Azotobacter, Rhizobium, Paenibacillus, and Paraburkholderia. In contrast, the review of hydroponic phytopathogens explores the mechanisms of disease, studies of disease incidence in greenhouse crops, and disease control strategies. Economically relevant diseases caused by Xanthomonas, Erwinia, Agrobacterium, Ralstonia, Clavibacter, Pectobacterium, and Pseudomonas are discussed. The conditions that make Pseudomonas both a friend and a foe, depending on the species, environment, and gene expression, provide insights into the complexity of plant–bacterial interactions. By amalgamating information on both beneficial and pathogenic bacteria in hydroponics, researchers and greenhouse growers can be better informed on how bacteria impact modern crop production systems. [ABSTRACT FROM AUTHOR]

This work focuses on biohybrid systems—plants with biosensors and actuating mechanisms that enhance the ability of biological organisms to control environmental parameters, to optimize growth conditions or to cope with stress factors. Biofeedback-based phytoactuation represents the next step of development in hydroponics, vertical farming and controlled-environment agriculture. The sensing part of the discussed approach uses (electro)physiological sensors. The hydrodynamics of fluid transport systems, estimated electrochemically, is compared with sap flow data provided by heat-based methods. In vivo impedance spectroscopy enables the discrimination of water, nutrient and photosynthates in the plant stem. Additionally to plant physiology, the system measures several air/soil and environmental parameters. The actuating part includes a multi-channel power module to control phytolight, irrigation, fertilization and air/water preparation. We demonstrate several tested in situ applications of a closed-loop control based on real-time biofeedback. In vertical farming, this is used to optimize energy and water consumption, reduce growth time and detect stress. Biofeedback was able to reduce the microgreen production cycle from 7 days to 4–5 days and the production of wheatgrass from 10 days to 7–8 days, and, in combination with biofeedback-based irrigation, a 30% increase in pea biomass was achieved. Its energy optimization can reach 25–30%. In environmental monitoring, the system performs the biological monitoring of environmental pollution (a low concentration of O3) with tomato and tobacco plants. In AI research, a complex exploration of biological organisms, and in particular the adaptation mechanisms of circadian clocks to changing environments, has been shown. This paper introduces a phytosensor system, describes its electrochemical measurements and discusses its tested applications. [ABSTRACT FROM AUTHOR]

Despite our emergent understanding of the contribution of beneficial microbes to the health of humans and the crops we eat, microbiome engineering to improve plant health has had limited success. Recent work has shown that plant genotype plays a critical role in shaping the plant microbiome and so plant genetics must be considered in engineering practices. Here, we review recent work from our lab and others on plant-driven genetic and molecular mechanisms that shape plant-associated microbial communities. Based on our emergent understanding of plant-driven recruitment of beneficial microbes, we discuss challenges in Canadian agriculture that are strong candidates for microbiome engineering. These include pathogens that have been difficult to control through traditional methods including root rot pathogens, as well as controlled agricultural systems like greenhouses and vertical farming. Finally, we discuss knowledge gaps to achieve successful microbiome engineering that can be filled with basic research, particularly through the use of model plant systems. [ABSTRACT FROM AUTHOR]

Microgreens are young plants grown from vegetables, grain, or herb seeds in a controlled environment with artificial lighting. LED modules are the preferred option for indoor and vertical farming. Light intensity (LI) is crucial for plant growth and the synthesis of phytochemicals. The study aimed to assess whether growing microgreens under low light intensity but with the addition of algae would produce plants with similar parameters (biometric, active compound content) to those grown under higher light intensity. The experiment evaluated LED white light at two intensity levels: 115 µmol m−2 s−1 (low light, LL) and 230 µmol m−2 s−1 (high light, HL). Pea seeds were soaked in a 10% solution of Chlorella vulgaris algae or water before sowing, and the plants were watered or sprayed during growth with the same solutions. The results showed no positive effect of algae on plant biometric traits. However, plants treated with algae had a significantly higher chlorophyll and carotenoid content index. Light significantly influenced pea growth, with plants grown under high light (HL) showing greater weight, height, and plant area. Additionally, changes in the photosynthetic apparatus and light stress were observed in microgreens watered with water (AW and WW) under high light during the vegetative phase. Raman spectra also indicated changes in the chemical composition of microgreens' leaves based on light intensity and treatment. Microgreens treated with algae solution during seed soaking and water during the vegetative phase produced much more carotenoids compared to other variants. [ABSTRACT FROM AUTHOR]

Radish (Raphanus sativus L.) is highly nutritious and contains antioxidants that help reduce the risk of diseases. Light is a crucial factor in their growth and the stimulation of secondary metabolite production. Therefore, this study aimed to investigate the effects of light spectra on the development, physiological responses, and antioxidant capacity of radish varieties including cherry belle (CB), black Spanish (BS), hailstone white (HW), Malaga violet (MV), and sparkler white tip (SW) under a controlled environment. Various spectra of red (R), green (G), and blue (B) light were used. The study found that using a combination of red and blue light (3R:1B) resulted in the highest growth in root diameter, fresh weight, and dry weight across all five radish varieties, with values ranging from 1.83 to 4.63 cm, 13.58 to 89.33 g, and 1.20 to 4.64 g, respectively. In terms of physiological responses, the CB and BS varieties showed a higher photosynthetic rate after exposure to mixed red and blue light (1R:3B, 3R:1B). Additionally, adding green light to the red and blue light also enhanced the photosynthetic rate, with statistically significant differences ranging from 3.31 to 3.99 µmol m−2 s−1. The SW variety of radish exhibited an increase in phenolic compounds, flavonoids, and anthocyanins when exposed to light spectra of 1R:1G:1B, 1R:2G:1B, 1R:3G:1B, and 1R:3B. The highest levels of phenolic compounds were 4.67–5.14 mg GAE/g DW, flavonoids were 1.62–1.96 mg Rutin/g DW, and anthocyanins were 1.20–1.58 µg/g DW. However, the antioxidant capacity of five radish varieties under different light spectra did not show significant differences. Thus, the growth, photosynthesis, and antioxidant capacity depend on the optimal light spectrum for each radish variety. [ABSTRACT FROM AUTHOR]

Achyranthes japonica Nakai (AJN) is a medicinal plant known to be beneficial for the joints. Since it takes at least two years from sowing to harvesting in an open field, new AJN cultivation strategies are needed to shorten the production period and improve quality. In this study, high-quality AJN is produced as microgreens in a vertical farm using a commercial ginseng soil mix (Myeongpum-Insamsangto, Shinsung Mineral Co., Ltd., Goesan, Republic of Korea) and controlled environmental conditions. The cultivation conditions included a temperature of 23 ± 2 °C, relative humidity of 50 ± 10%, and a photosynthetic photon flux density of 170 ± 15 µmol·m−2·s−1. Pre-harvest intermittent UV-B exposure, with an intensity of 1.0 ± 0.3 W/m−2, was applied for one day before harvest to evaluate its effects, using controlled environmental conditions in the vertical farm. Ultraviolet-B (UV-B) irradiation increases secondary metabolite levels in plants; however, the effect of UV-B on 20-hydroxyecdysone (20E), an indicator of AJN, is unclear. Therefore, we aimed to investigate whether UV-B treatment of AJN microgreens affected growth and secondary metabolites. The treatment group was set to 12 h of continuous UV-B treatment during the day, two 6 h UV-B treatments, and four 3 h UV-B treatments to confirm the effectiveness of regular and intermittent treatment and recovery. Short-term UV-B treatment before harvesting increased phenols, flavonoids, antioxidant capacity, and 20E levels without affecting AJN biomass. The intermittent 6 h UV-B irradiation with a 6 h recovery time stimulated 20E content by approximately 1.4 times compared to the control. These study findings indicate that short-term UV-B treatment before harvesting, an appropriate recovery time, and intermittent UV-B exposure are more effective at increasing 20E content than continuous treatment. This approach provides a promising strategy for improving the nutritional and health benefits of AJN microgreens in vertical farming systems. [ABSTRACT FROM AUTHOR]

Driven by population growth, rising living costs, and the urgent need to address climate change, sustainable food production and circular economy principles are becoming increasingly important. Conventional agriculture faces significant challenges, including land scarcity, water shortages, and disrupted supply chains. As a solution, cities are adopting vertical farming to enhance urban food security and promote circularity. This research introduces FLOAT (Farming Lab on a Trough), an innovative vertical farming system made from bio-polymers and recycled polyethylene terephthalate glyco (rPETG) pellets from plastic bottles. FLOAT's design emphasizes sustainability and closed-loop material usage. The study showcases the versatility of additive manufacturing (AM) in creating complex geometries with fully functional 1:1 prototypes. These prototypes highlight FLOAT's potential as a scalable and adaptable solution for sustainable food production in urban settings, contributing to improved food security and environmental sustainability. By integrating FLOAT with conventional practices, we aim to exceed Singapore's 2030 food security targets and achieve lasting urban food resilience. FLOAT aims to scale sustainable food production, fostering community ties with food, and nurturing future responsibility. [ABSTRACT FROM AUTHOR]

Purpose: Our aim in this study was to examine lettuce production in vertical farming or in conventional greenhouse production in Northern European conditions from the perspective of climate change impact and environmental sustainability. Further, the goal was to identify practices and choices that could mitigate adverse effects and increase resource-use efficiency, allowing the development of more sustainable production systems. Methods: This article provides new information of the environmental impacts of lettuce production in greenhouses and vertical farming in Finland, compared using the life cycle assessment (LCA) methodology. The impact categories used were climate change impact, cumulative energy demand, resource use of fossil energy sources, resource use of minerals and metals, land use, and water scarcity. The system boundaries covered the production chains from cradle to farmgate, including inputs in production, as well as direct emissions caused by fertiliser use and the onsite composting of organic waste. The environmental impacts of the two production systems with different energy scenarios were assessed: (1) a greenhouse either with average or renewable energy; and (2) vertical farming either with average or renewable energy and with or without waste heat recovery. The data for vertical farming were based on one Finnish production site and supplementary data for the construction materials. The greenhouse data were based on a previous LCA investigation of average Finnish lettuce production. Results: The climate change and all other impact categories were lowest for lettuce produced in vertical farming with renewable energy and waste heat recovery. The climate change impact was largest for lettuce produced in greenhouse with average energy use. For energy use and energy resource use, the impacts of vertical farming were lower than greenhouse production, but for mineral and metal use and water scarcity, the impact of vertical farming was higher for average energy use without heat recovery. Direct land and irrigation water use on the production sites in Finnish circumstances represented only a small share of total land-use and water-use impacts on both production methods. Conclusion: Paying attention to the energy source and heat recovery, the environmental sustainability can be advanced in both vertical and greenhouse production systems. [ABSTRACT FROM AUTHOR]

In cities, a mosaic of different types of urban agriculture can be found. However, knowledge about advantages and disadvantages of the different types is still fragmented. This paper introduces an integrative evaluation framework for assessing the environmental, social, and economic sustainability of urban agriculture by applying a multi-criteria analysis based on an Analytic Hierarchy Process and a participatory approach. Based on a German case study and on the examples of vertical farming and community-supported agriculture, the results suggest that sustainable urban agriculture is a multi-dimensional approach informed by strong sustainability that places nature in the focus. Thus, the environmental dimension received the highest weight, followed by the social and, lastly, the economic dimension. Regarding the sub-criteria, species diversity achieved the highest total weight and food quality and safety the lowest. Conceptually, this paper provides scientific fundamentals for a systematic comparative evaluation of different types of agriculture for sustainable urban development.

Urban vertical farming has emerged as a sustainable and innovative approach to addressing the increasing global demand for food in rapidly growing and densely populated cities, where traditional agriculture faces significant challenges due to space and resource constraints. A primary issue in these systems is the efficient management of critical resources, particularly water and energy, which are essential for maintaining high crop productivity and environmental sustainability. This study introduces, develops, and evaluates a mathematical model that integrates Internet of Things (IoT) technology to optimize water and energy usage in a hydroponic vertical farming setup. The model utilizes real-time environmental data collected from IoT sensors to dynamically adjust irrigation and energy consumption, ensuring minimal waste while sustaining optimal conditions for plant growth. Extensive simulations conducted using Python demonstrate substantial improvements in Water Use Efficiency (WUE) and significant energy savings, validating the model’s effectiveness. The study also presents practical case studies from regions like Singapore, Qatar, and Malaysia, showcasing how the integration of renewable energy sources, such as solar photovoltaic panels, with advanced smart irrigation technologies can lead to up to 50% growth rate improvements. Despite existing challenges, such as high initial capital investments, technical complexities, and the need for continuous maintenance, the findings indicate that modular and scalable system designs offer a promising path forward. Future research should aim to reduce overall costs and enhance system adaptability for various urban environments. Ultimately, this research provides a scalable and efficient framework for advancing urban agriculture, with the potential to contribute significantly to global food security and promote the sustainability of urban ecosystems.

AbstractThis paper examines the potential of in-store vertical farming technologies in urban food retail as a solution to the increasing demand for fresh, locally sourced food. By enabling a “sell where you produce” model, vertical farming can reduce food miles, enhance traceability, and lower carbon emissions. The study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) to analyze factors influencing the adoption of these technologies among food retailers in Rouen, France, with a particular focus on the role of risk aversion in shaping attitudes and decisions. The findings highlight that performance expectancy and facilitating conditions are the key drivers of adoption intentions among retail store managers. However, perceived risks, such as high investments and operational costs, pose significant barriers, while social influence appears to have little impact on their decisions. The study underscores the importance of conducting economic evaluations and risk assessments of vertical farming practices to ensure their long-term viability. As vertical farming holds the potential to boost fresh food production in urban areas, reduce food miles, and create sustainable supply chains, it is crucial to carefully weigh its benefits and risks to support its successful adoption in urban food retail. [ABSTRACT FROM AUTHOR]

"Biomimicry" is an acronym used to describe how people looked at nature for inspiration to tackle a variety of problems. The modern problems of fastincreasing urbanization, land degradation, climate change, pandemics, loss of biodiversity, and widespread use of pesticides and fertilizers seriously threaten our food supply chain. There is a growing consumer demand for nutrient-dense, flavourful plant-based cuisine with minimal environmental impact. Moreover, a considerable portion of food roughly 24% is lost before it reaches consumers, partly as a result of poor quality and protracted supply chains. Researching new methods of producing food is essential since, by 2050, there will be more than 9.7 billion people on the planet, 70% of whom will reside in cities. Vertical farming (VF), which relieves pressure on conventional agricultural land by using vertical space instead of horizontal expansion, is growing in popularity as a solution to these problems. Because VF incorporates soil-less growth techniques, it is well-suited for urban environments. This strategy may help to produce more premium products, such as fruits, vegetables, flowers, and herbs. It may also help to produce cosmetics and medications made from plants. Vertical farming, is becoming more favoured as an alternative to traditional agriculture, and provides avenues for enhancing sustainable food production given the growing challenges of climate change and population growth. [ABSTRACT FROM AUTHOR]

The number of vertical farms has been expanding rapidly in recent years to provide more resilient and sustainable global food provisioning closer to consumers. However, there is a lack of empirical evidence on whether vertical farms can provide sustainable sourcing of food. The purpose of this study is to assess the environmental performance of a modular cabinet vertical farm producing lettuce and basil on-site at the end-user. To assess the environmental performance of this system, a life cycle assessment (LCA) was conducted to determine the total impact of producing lettuce and basil on-site, i.e., a kitchen for an office cafeteria, and compare to conventional sourcing. The results from this study suggest that the modular vertical farm can provide crops with environmental impacts comparable to or less than conventionally sourced options. GHG emissions ranged from 0.78-1.18 kg CO2-eq per kg lettuce and from 1.45-2.12 kg CO2-eq per kg basil from on-site production. The ranges suggest that the environmental performance is sensitive to methodological choices and life cycle inventory (LCI) data choices. These include how to treat the infrastructure for the modular cabinet, as it is often rented as a growingservice system, in addition to the LCI data choices related to the source of electricity. In conclusion, under local conditions (i.e., Stockholm, Sweden) the modular vertical farm can produce lettuce with equivalent emissions and quality to imported lettuce, despite its high energy requirement. The findings and knowledge from this study add to the growing body of literature on vertical farming, providing empirical evidence on the sustainability of an onsite commercial cabinet-based vertical farm. Such information can be used for comparisons and validation of claims in the industry, and to provide empirical evidence to this developing field. [ABSTRACT FROM AUTHOR]

This article explores the role of technology and analytics in achieving sustainable global development, with a focus on agriculture. It discusses the challenges faced in meeting the United Nations' sustainable development goals and highlights the potential of digital technologies to improve decision-making and connect stakeholders worldwide. The article examines various applications of agri-tech, including labor-intensive to technology-intensive farming, resilient agri-food supply chains, smart technologies in animal science, and smart farming for sustainable agriculture. It concludes by introducing five research articles that delve into the role of agri-tech in achieving sustainable development goals. The text emphasizes the importance of early detection and treatment of plant leaf diseases, water management from a socioecological perspective, vertical farming systems in urban environments, and sentiment analytics to study public perception of smart farming. It also highlights the integration of technologies like AI, IoT, and autonomous systems, as well as advancements in genetic engineering and biotechnology, as key drivers of future agricultural practices. The article stresses the need for upskilling and education in agri-tech to support the adoption of these technologies and ensure economic growth and resilience in the agricultural sector. [Extracted from the article]

The work discusses intermittent light scheduling for energy cost reduction in vertical farming, specifically for growing salad crops (Lactuca Sativa). The study explores how dynamically adjusting lighting schedules based on day-ahead energy prices can improve energy efficiency and reduce operational costs. The research uses a growth chamber equipped with LED lights, controlled environmental factors, and real-time data from the Nord Pool energy market to optimize energy use. The results show that intermittent lighting schedules, aligned with cheaper energy periods, lead to higher crop yields and significant energy cost savings compared to continuous lighting. The findings suggest that such adaptive lighting strategies can make vertical farming more economically viable and sustainable by optimizing resource use, aligning with global sustainability goals. The study also highlights the potential of vertical farms to act as flexible power consumers, adjusting their energy usage based on renewable energy availability. [ABSTRACT FROM AUTHOR]

Urban agriculture has emerged as a crucial strategy to address food security and sustainability challenges, particularly in densely populated areas. This study focused on enhancing leafy greens' production, specifically lettuce (Lactuca sativa L.) and arugula or rocket (Eruca sativa L.), using Nutrient Film Technique (NFT) systems and automation in container-based vertical farming. The study utilized a 20-foot shipping container retrofitted to create a thermally insulated and automated growth environment equipped with energy-efficient LED lighting and precise climate control systems. The results demonstrated significant improvements in crop yields, with the NFT systems achieving productivity up to 11 times higher than traditional methods in protected horticulture. These systems enabled continuous cultivation cycles, responding to the high market demand for fresh local produce. Moreover, the integration of low-cost sensors and automation technologies, each costing under USD 300, ensured that the environmental conditions were consistently optimal, highlighting this approach's economic feasibility and scalability. This low-cost framework aligns with industry standards for affordable technology, making it accessible for small- to medium-sized urban agriculture enterprises. This study underscores the potential of vertical farming as a sustainable solution for urban food production. It provides a model that can be replicated and scaled to meet the growing demand for healthy, locally grown vegetables. [ABSTRACT FROM AUTHOR]

Facility agriculture, which involves agricultural production in controlled environments such as greenhouses, indoor farms, and vertical farms, aims to maximize efficiency, yield, and quality while minimizing resource consumption and environmental impact. Energy-saving technologies are essential to the green and low-carbon development of facility agriculture. Recently, phase change heat storage (PCHS) systems using phase change materials (PCMs) have gained significant attention due to their high thermal storage density and excellent thermal regulation performance. These systems are particularly promising for applications in facility agriculture and related buildings, such as solar thermal utilization, greenhouse walls, and soil insulation. However, the low thermal conductivity of PCMs presents a challenge for applications requiring rapid heat transfer. This study aims to provide a comprehensive review of the types, thermophysical properties, and various forms of PCMs, including macro-encapsulated PCMs, shape-stabilized PCMs, and phase change capsules (PCCs), as well as their preparation methods. The research methodology involves an in-depth analysis of these PCMs and their applications in active and passive PCHS systems within facility agriculture and related buildings. The major conclusion of this study highlights the critical role of PCMs in advancing energy-saving technologies in facility agriculture. By enhancing PCM performance, optimizing latent heat storage systems, and integrating intelligent environmental control, this work provides essential guidelines for designing more efficient and sustainable agricultural structures. The article will serve as the fundamental guideline to design more robust structures for facility agriculture and related buildings. [ABSTRACT FROM AUTHOR]

With the global population projected to reach 8.6 billion by 2050 and urbanization on the rise, sustainable food production in cities becomes imperative. Vertical farming presents a promising solution to meet this challenge by utilizing space-efficient, controlled-environment agriculture techniques. In a vertical farming system, high quality, high nutritional value products can be produced with minimum water consumption, using LEDs as energy-efficient light sources. Microgreens are a new market category of vegetables among sprouts and baby leaf greens. The most critical challenge in their cultivation is the choice of growing medium, lighting, and light spectrum, which affect photosynthesis, plant growth, and yield. This review explores various cultivation methods, including hydroponics, within the context of vertical farming. Using current research, it investigates the effect of LED lighting on the physiological properties and growth of microgreens and baby leaf lettuce, but further research is needed to determine the response of the varieties and the optimal light spectrum ratios to meet their needs. [ABSTRACT FROM AUTHOR]

RGB LED bulbs have entered the market as a promising alternative to traditional phosphor-coating LEDs to meet illumination standards. In this article, we introduce and propose solutions to address the challenges of RGB LED lighting for the Internet of Things applications, performing communication, harvesting energy, and sensing tasks. Through experiments, we demonstrate that we can use RGB LEDs for multiple tasks. We can achieve a bandwidth in the order of 50 kHz and distances of around 3.5 m using commercial RGB LED bulbs as transceivers, without using any dedicated photodetector. RGB LED links are composed of three main colors, and we show that red is the best color both for communicating to another receiving RGB LED bulb, as well as for harvesting with a solar cell; green and blue can instead be exploited for standard-compliant lighting and/or sensing purposes. We evaluate the system in two proofs of concept and provide insights for operating RGB LEDs for multiple tasks including vertical farming. [ABSTRACT FROM AUTHOR]

The output energy produced by the photovoltaic system strongly depends upon the amount of solar radiation harvested by the photovoltaic panels. Varying the tilt of photovoltaic panels at the optimal angle and/or cleaning the photovoltaic panels at regular intervals are some of the techniques that could enhance the photovoltaic system performance albeit at the cost of increased labor and water budget. Here, we explore a farm-level study to investigate the effect of different tilt angle adjustment schedules on the performance of conventional north/south ( N / S ) tilted monofacial photovoltaic farms. We further compare the performance of optimally tilted N / S photovoltaic farms with that of east/west (E / W) faced vertical bifacial photovoltaic farms for various dry periods for Lahore, Pakistan. We show that for a dry period of one month, the performance of N / S tilted farm is decreased by ∼ 40 kWh/m2 as compared to that for E / W farm that exhibits a performance degradation of ∼ 3 kWh/m2. Further, N / S farm performs better than E / W vertical farm if the cleaning is performed on (or before) fortnightly basis. Further, if cleaning is delayed for one month, then E / W vertical farm performs better than N / S tilted farm. The results presented in this work are beneficial for the development of E / W faced vertical bifacial farm in dusty climates and regions with scarce water supply. [ABSTRACT FROM AUTHOR]

This publication presents an innovative tower cultivation device designed to significantly increase vertical farming's efficiency. The device divides the cultivation system into separate chambers. One division corresponds to the different growth phases of the plants, while another reflects the daily variation in conditions. Each chamber presents slightly different conditions and cultivation patterns from the others. For the early stages, crops are grown horizontally in trays; once they mature, they are transplanted into mobile cultivation towers. The closed circulation of ventilation and irrigation reduces water consumption by up to 95%. A unique separate day–night division optimises light, temperature, and humidity conditions, mimicking natural growth patterns. This approach not only saves water and energy but also improves cultivation in a three-dimensional space. The presented solution focuses on the often-overlooked aspects of cultivating in vertical farms and makes this method of growing much more cost-effective and feasible to implement on a large scale. Our comparative analysis with other vertical farming solutions is based on publicly available data and provides valuable insights, while acknowledging the potential limitations at play. [ABSTRACT FROM AUTHOR]

Background: Controlled environment agriculture, particularly vertical farms (VF), also called plant factories, is often claimed as a solution for global food security due to its ability to produce crops unaffected by weather or pests. In principle, essential macronutrients of the human diet, like protein, could technically be produced in VF. This aspect becomes relevant in the era of protein transition, marked by an increasing consumer interest in plant‐based protein and environmental challenges faced by conventional farming. However, the real question is: what does the cultivation of protein crops in VF imply in terms of resource use? To address this, a study was conducted using a VF experiment focusing on two soybean cultivars. Results: With a variable plant density to optimize area use, and because of the ability to have more crop cycles per year, protein yield per square metre of crop was about eight times higher than in the open field. Assuming soy as the only protein source in the diet, the resources needed to get total yearly protein requirement of a reference adult would be 20 m2 of crop area, 2.4 m3 of water and 16 MWh of electricity, versus 164 m2, 111 m3 and 0.009 MWh in the field. Conclusions: The study's results inform the debate on protein production and the efficiency of VF compared to conventional methods. With current electricity prices, it is unlikely to justify production of simple protein crops in VF or promote it as a solution to meet global protein needs. © 2024 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

In the recent years, the problem of feeding an expanding population requires a multifaceted approach including sustainable agriculture practices, social awareness, policy reforms and technical advancements. Hydroponics is one such technology that has gained significant attention in recent years due to its potential to revolutionize agriculture by overcoming traditional constraints related to soil quality, climate, and land availability. Hydroponic farming presents a promising solution to the multiple challenges faced in traditional agriculture, including land scarcity, water shortages, and soil degradation. As the global population continues to grow and agricultural land becomes scarcer, hydroponics represents a valuable tool in ensuring food security and mitigating the pressures of conventional farming practices on the environment. The review covering 78 peer articles within span of 24 years (from 2000 to 2024) extracted from Google Scholar revealed that there is a significant increase in the publication in this field of study. This study explores the basic components of Hydroponic system, various types of hydroponic systems, suitable crops grown, positive aspects, key challenges, future perspectives of this soilless cultivation and the role of agricultural extension services in promoting and disseminating hydroponic technologies to farmers. [ABSTRACT FROM AUTHOR]

As the global population grows, achieving Zero Hunger by 2030 presents a significant challenge. Vertical farming technology offers a potential solution, making the path planning of agricultural robots in vertical farms a research priority. This study introduces the Vertical Farming System Multi-Robot Trajectory Planning (VFSMRTP) model. To optimize this model, we propose the Elitist Preservation Differential Evolution Grey Wolf Optimizer (EPDE-GWO), an enhanced version of the Grey Wolf Optimizer (GWO) incorporating elite preservation and differential evolution. The EPDE-GWO algorithm is compared with Genetic Algorithm (GA), Simulated Annealing (SA), Dung Beetle Optimizer (DBO), and Particle Swarm Optimization (PSO). The experimental results demonstrate that EPDE-GWO reduces path length by 24.6%, prevents premature convergence, and exhibits strong global search capabilities. Thanks to the DE and EP strategies, the EPDE-GWO requires fewer iterations to reach the optimal solution, offers strong stability and robustness, and consistently finds the optimal solution at a high frequency. These attributes are particularly significant in the context of vertical farming, where optimizing robotic path planning is essential for maximizing operational efficiency, reducing energy consumption, and improving the scalability of farming operations. [ABSTRACT FROM AUTHOR]

Global fertilizer production and mismanagement significantly contribute to many harmful environmental impacts, revealing the need for a greater understanding of crop growth and nutrient uptake, which can be used to optimize fertilizer management. This study experimentally adapts first-principles microbial modeling techniques to the hydroponic cultivation of Bibb lettuce (Lactuca sativa) under nitrogen-limited conditions. Monod and Michaelis–Menten's approaches are applied to predict biomass productivity and nutrient uptake and to evaluate the feasibility of reclaimed wastewater as a nutrient source of nitrogen. Experimental and modeling results reveal significantly different kinetic saturation constants ( K s = 1.331 and K m = 17.887 mg L−1) and a corresponding cell yield strongly dependent on nutrient concentration, producing visually and compositionally distinct tissue between treatments receiving ≤ 26.2 and ≥ 41.7 m g N L−1. The resulting Monod model overestimates dry mass predictions during low nutrient conditions, and the collective results support the development of a dynamic Monod curve that is temporally dependent during the plants' lifecycle. Despite this shortcoming, these results support the feasibility of reclaiming nitrogen from wastewater in hydroponic agriculture, expecting to produce lesser biomass lettuce exhibiting healthy tissue. Furthermore, this study provides a mathematical foundation for agricultural simulations and nutrient management. [ABSTRACT FROM AUTHOR]

Adding far-red (FR, 700–800 nm) light to photosynthetic active radiation (400–700 nm) proved to be a possible approach to increasing plant biomass accumulation for lettuce production in indoor vertical farms with artificial lighting as a sole-source lighting. However, how FR light addition influences plant growth, development, and metabolic processes and the optimal value of FR photon flux density for greenhouse-grown lettuce under sunlight are still unclear. This work aims to quantify the value of supplementary FR light with different intensities on lettuce morphological and physiological characteristics in a greenhouse. Lettuce 'Dasusheng' (Lactuca sativa L.) was grown in a greenhouse under seven light treatments, including white plus red LEDs with FR photon flux density at 0, 10, 30, 50, 70, and 90 µmol m−2 s−1 (WR, WR + FR10, WR + FR30, WR + FR50, WR + FR70, and WR + FR90, respectively), and lettuce grown with sunlight only was marked as natural light (NL). FR light addition improved the electron transport flux per cross section and performance index (PIabs, PItotal) and decreased the changes in relative variable fluorescence of lettuce leaves compared to plants under NL. Specifically, the PIabs of lettuce leaves were 41%, 41%, 38%, 33%, 26%, and 25% lower under control than in plants under treatments WR + FR90, WR + FR70, WR + FR50, WR + FR30, WR + FR10, and WR, respectively. Leaf number, leaf area, and biomass accumulation of lettuce followed a quadratic function with increasing FR light intensity and were the highest under treatment WR + FR50. The shoot fresh weight and dry weight of lettuce were increased by 111% and 275%, respectively, under treatment WR + FR50 compared to NL. The contents of vitamin C, reducing sugar, total soluble sugar, and starch in lettuce showed a similar trend with biomass accumulation. In conclusion, with commonly used photosynthetic photon flux density (PPFD, 400–700 nm) around 200 μmol m−2 s−1, supplementary FR light intensity of 30~50 μmol m−2 s−1 was suggested to enhance the photochemistry efficiency, biomass accumulation, and carbohydrates' contents in greenhouse-grown lettuce. [ABSTRACT FROM AUTHOR]

Local indoor farming plays a significant role in the sustainable food production sector. The operation and energy costs, however, have led to bankruptcy and difficulties in cost management of indoor farming operations. To control the volatility and reduce the electricity costs for indoor farming, the agrivoltaics agrotunnel introduced here uses: (1) high insulation for a building dedicated to vertical growing, (2) high-efficiency light emitting diode (LED) lighting, (3) heat pumps (HPs), and (4) solar photovoltaics (PVs) to provide known electric costs for 25 years. In order to size the PV array, this study develops a thermal model for agrotunnel load calculations and validates it using the Hourly Analysis Program and measured data so the effect of plant evapotranspiration can be included. HPs are sized and plug loads (i.e., water pump energy needed to provide for the hybrid aeroponics/hydroponics system, DC power running the LEDs hung on grow walls, and dehumidifier assisting in moisture condensation in summer) are measured/modeled. Ultimately, all models are combined to establish an annual load profile for an agrotunnel that is then used to model the necessary PV to power the system throughout the year. The results find that agrivoltaics to power an agrotunnel range from 40 to 50 kW and make up an area from 3.2 to 10.48 m2/m2 of an agrotunnel footprint. Net zero agrotunnels are technically viable although future work is needed to deeply explore the economics of localized vertical food growing systems. [ABSTRACT FROM AUTHOR]

Container farms (CFs), a controlled environment agricultural technology designed to solve food insecurity, are receiving increasing attention from researchers. However, the complex geometric structures and artificial lighting used in CFs present challenges in effectively controlling the thermal environment. This study aims to identify the primary factors that impact the thermal environment of CFs while conducting factor ranking and significance analysis, providing a theoretical basis for future thermal environment optimization. The research method of theoretical analysis, CFD simulation, and an orthogonal experimental design were adopted to achieve the above objectives. Theoretical analysis revealed that factors influencing the thermal environment are the HVAC system's supply air temperature, humidity, flow rate, and the light source used. Four evaluation indices, including the mean value and range between layers of temperature and moisture content, were used. The results revealed that supply air temperature and light source are significant for mean temperature, while supply air temperature and humidity are significant for mean moisture content. In the case of range between layers, supply air flow rate and light source display a significant correlation. These findings suggest that future optimization should prioritize the regulation of the HVAC system's supply air and light source. [ABSTRACT FROM AUTHOR]

The effect of the ratio of red and blue light on fruit biomass radiation-use efficiency (FBRUE) in dwarf tomatoes has not been well studied. Additionally, whether white light offers a greater advantage in improving radiation-use efficiency (RUE) and FBRUE over red and blue light under LED light remains unknown. In this study, two dwarf tomato cultivars ('Micro-Tom' and 'Rejina') were cultivated in three red-blue light treatments (monochromatic red light, red/blue light ratio = 9, and red/blue light ratio = 3) and a white light treatment at the same photosynthetic photon flux density of 300 mmol m-2 s-1. The results evidently demonstrated that the red and blue light had an effect on FBRUE by affecting RUE rather than the fraction of dry mass partitioned into fruits (Ffruits). The monochromatic red light increased specific leaf area, reflectance, and transmittance of leaves but decreased the absorptance and photosynthetic rate, ultimately resulting in the lowest RUE, which induced the lowest FBRUE among all treatments. A higher proportion of blue light (up to 25%) led to a higher photosynthetic rate, resulting in a higher RUE and FBRUE in the three red-blue light treatments. Compared with red and blue light, white light increased RUE by 0.09-0.38 g mol-1 and FBRUE by 0.14-0.25 g mol-1. Moreover, white light improved the Ffruits in 'Rejina' and Brix of fruits in 'Micro-Tom' and both effects were cultivar-specific. In conclusion, white light may have greater potential than mixed red and blue light for enhancing the dwarf tomato FBRUE during their reproductive growth stage. [ABSTRACT FROM AUTHOR]

In the face of a changing climate and a rising number of "food deserts" in both rural and urban areas, there is a demand to supply fresh produce year-round to communities at the end of the traditional agriculture supply chain. Vertical indoor farming is a promising mode of next-generation agriculture that boasts reduced water and pesticide usage, improved yields, more consistent quality, year-round cultivation, and cheaper transportation and harvesting costs. Indoor farms can rival industrial greenhouses in size, but small-scale "pod farms" can be deployed to smaller communities and areas where large swaths of land are either unavailable or too costly. These pods are often the size of shipping containers with their temperature, humidity, and plant nutrient supply carefully controlled. Plants inside the pods are grown hydroponically with light supplied by panels of LEDs and, thus, this mode of farming is fundamentally different from greenhouse farming. Many indoor farming pods have recently become commercially available claiming high energy efficiency, but little analysis and optimization work has been done to prove these claims. To drive innovation in the design of these physical systems, we have developed a digital-twin and genomic optimization framework for the optical design of vertical indoor farming pods. We model a completely enclosed indoor farming pod with plants in the three mutually-orthogonal planes and illuminated by LED "walls." We employ ray-tracing methods and a genetic algorithm to determine the LED source tube area size, beam aperture spread, and power requirements for maximal power absorption by the plants. [ABSTRACT FROM AUTHOR]

Food security is a strategic issue for densely populated areas like the Province of DKI Jakarta, which has limited agricultural land. This research aims to analyze the implementation of food security policies in DKI Jakarta, focusing on a case study of PT Food Station Tjipinang Jaya (FSJT) as the policy implementer. The study employs a qualitative approach using literature review methods, with data collected from various written sources such as regional regulations, official reports, scientific publications, and related websites. Through content analysis and data source triangulation, this research identifies FSJT's success in maintaining food availability, improving food access, strengthening the distribution system, and supporting local farmers. However, the implementation of the policy also faces challenges such as land limitations, food price fluctuations, changing dietary patterns, and program sustainability. Supporting data shows FSJT's contribution to the reduction of the poverty rate in DKI Jakarta from 11.5% (2021) to 10.56% (2022), as well as the distribution of 1.2 million tons of rice in 2022. Surveys also noted that 82% of the public were satisfied with FSJT's performance in maintaining food availability. To enhance food security in the future, recommendations include the development of vertical farming, strengthening community food resilience, nutritional education campaigns, and diversification of food sources. Ongoing efforts through these measures are essential to ensure the effective implementation of food security policies and the sustainability of development in the Province of DKI Jakarta. [ABSTRACT FROM AUTHOR]

Computational fluid dynamics (CFD) simulations have been extensively used in designing air distribution systems for controlled environment agriculture (CEA). In recent years, more application studies using CFD simulations can be found for vertical farms due to the increasing interest in indoor vertical farming systems. However, it is well-known that CFD simulations are sensitive to many computational parameters and settings. The requirement of a crop response model in the CFD simulation for a vertical farm makes it even more complicated. Despite increased interest, guidelines for CFD simulations in vertical farms are scarce based on a literature study. Therefore, a systematic sensitivity analysis is conducted for a small generic multi-layer vertical farm with sole source lighting, which was the object of study in the literature before. The impact of a wide range of computational and physical parameters is investigated, including grid resolution, turbulence model, turbulence intensity, discretisation scheme, drag coefficient of the crops and computational time. The analysis shows that in this case (inlet Re = 46,923, Ar = 0.078, cultivated with lettuce), the RNG k-ε turbulence model outperforms other commonly used two-equation turbulence models. Compared to the experimental results from the literature, the simulation results from the first-order upwind scheme show large discrepancies, especially on the coarse grid. Although the influence of drag coefficient on the airflow inside the crop canopy is pronounced, little difference is observed in the air distributions in the vertical farm away from the crops. • Literature review on computational settings in CFD simulations of indoor farming. • Validation of RANS CFD simulations including a crop response model. • RNG k-ε turbulence model outperforms the other two-equation turbulence models. • First-order upwind discretisation scheme shows large discrepancies. • Influence of the momentum sink of lettuce canopy on the air distributions is limited. [ABSTRACT FROM AUTHOR]