Agricultural Systems Research Articles

Mango leaf disease diagnosis using Total Variation Filter Based Variational Mode Decomposition

Mango leaf diseases significantly threaten mango cultivation, impacting both yield and quality. Accurate and early diagnosis is essential for effectively managing and controlling these diseases. This study introduces a novel approach for diagnosing mango leaf diseases, leveraging Total Variation Filter-based Variational Mode Decomposition. The proposed method enhances the extraction of disease-specific features from leaf images by decomposing them into intrinsic mode functions while simultaneously reducing noise and preserving important edge information. Experimental results demonstrate that the proposed method effectively isolates relevant patterns associated with various mango leaf diseases, improving diagnostic accuracy compared to traditional methods. Deep learning models, DenseNet121 and VGG-19, are used for feature extraction from sub-band images, and extracted features are concatenated and fed to Random Forest for classification. Utilizing tenfold cross-validation, our model demonstrated enhanced classification accuracy (98.85 %), specificity (99.37 %), and sensitivity (98.0 %) in detecting diseases from Mango leaf images. Feature maps and Gradient-weighted Class Activation Mapping analysis was conducted to visualize and scrutinize the essential regions crucial for accurate predictions. Statistical analysis indicates that our proposed architecture outperforms pre-trained models and existing mango leaf disease detection methods. This diagnostic approach can be a rapid disease detection tool for imaging specialists utilizing leaf images. The robustness and efficiency of the presented work in handling complex and noisy image data make it a promising tool for automated agricultural disease diagnosis systems, facilitating timely and precise interventions in mango orchards.

The delineation of management zones using soil quality indices for the cultivation of irrigated rice (Oryza sativa L.) in Huila, Colombia

Conventional intensive farming systems can result in degraded soil. It is therefore important to monitor this effect periodically by delineating management zones (MZ) based on soil quality indices (SQI) in order to maintain and improve the soil characteristics in a precision farming environment and obtain homogeneous rice yields. The aim of this study was to determine and spatialise SQI and delineate MZ for cultivating flooded rice in an area of Fluvisols in Huila, Colombia. Forty-one georeferenced soil samples were collected from the 0 to 20 cm layer, and the physical, chemical and biological attributes of the soil were analysed to calculate the Integrated Quality Index (IQI) and the Nemoro Quality Index (NQI) using linear scoring functions. Geostatistical tools were then used to fit semivariogram models of the SQI, and interpolated using ordinary kriging to map the MZ using the QGIS software. The IQI and NQI showed a moderate spatial correlation, which allowed three distinct MZ to be identified and delineated. Attributes, such as bulk density (Bd), total porosity (TP), soil respiration (SR), available water (AW) and soil organic matter (SOM) were significant and can be used as a guide by farmers for restoring the quality of the soil in rice production. The method proved to be effective, and provided an information base to be used in the local management of areas of rice cultivation in the study region.

Agricultural legacy shapes plant diversity patterns in mountain grasslands of Maramureș and Bukovina: A cross‐border perspective (Ukraine, Romania)

Abstract We investigated farming practices and grassland plant diversity patterns in the historical regions of Maramureș and Bukovina, located in the central Eastern Carpathians of Romania and Ukraine. We explored the influence of social and historical factors on recent grassland plant diversity, including changes and modifications in land use and grassland management practices. We used stratified random sampling to select 48 grassland parcels in eight villages on the Ukrainian‐Romanian borderlands. We identified the factors that affect the composition and diversity of grassland vascular plants and bryophytes at multiple spatial scales and compared the frequency and timing of historical and recent grassland management practices to distinguish between preserved and modified agricultural traditions. In most of the grassland parcels studied (83% in Romania and 78% in Ukraine), traditional land use persisted. Local plant species richness was primarily influenced by management practices, outweighing the impact of topography and soil factors. Regular mowing at appropriate intensity increased the richness of vascular plants, while grazing promoted the richness of bryophyte species. Modifications to farming systems, observed in all studied villages, were mainly due to declining population and livestock numbers. Although the timing of spring and autumn grazing in hay meadows still adhered to tradition, mowing schedules shifted earlier, especially for the first cut of two‐cut hay meadows. Traditional corralling, fertilization and hayseed application have become rare or discontinued in certain villages, while controlled burning has increased. Past use of mineral fertilizers in Ukrainian villages during the Soviet era influenced the recent diversity and composition of vascular plant species, favouring nutrient‐demanding species. Social factors and agricultural policies indirectly affect biodiversity in semi‐natural grasslands, leaving a tangible footprint even in the most remote areas of the Carpathian Mountains. We provide basic recommendations to preserve the remarkable biodiversity of the region. Read the free Plain Language Summary for this article on the Journal blog.

Performance of different wheat varieties and their associated microbiome under contrasting tillage and fertilization intensities: Insights from a Swiss long-term field experiment

Winter wheat is an important global cereal crop. However, conventional farming practices, characterised by intensive tillage and high fertilizer inputs, pose significant threats to the environment. In response, more conservative management practices are being applied aiming to maintain wheat production while promoting a beneficial microbiome. Here, we evaluated the suitability of three different wheat varieties for less intensive agricultural systems, focusing on reduced tillage and fertilizer intensity. The study was conducted over two consecutive years in a Swiss long-term field experiment comparing conventional versus reduced tillage and full fertilization versus half fertilization. In addition, we investigated the composition of plant-associated microbial communities using amplicon sequencing of phylogenetic marker genes, specifically targeting bacteria and fungi in rhizosphere samples and fungi in root samples. Our results revealed that in our study wheat variety most strongly predicted grain yield and quality, independent of tillage and fertilization intensity. Specifically, wheat varieties demonstrated higher yields and N uptake in plots subjected to conventional ploughing and full fertilization compared to those under reduced tillage and half fertilization. We found no significant effect of wheat variety on the composition of microbial communities. However, tillage emerged as the primary factor influencing microbial community composition in the rhizosphere, while fertilization intensity significantly impacted fungal communities in the root system. These findings underscore the complex interplay between agronomic practices, plant genetics, and microbial dynamics in agroecosystems, emphasizing the need for holistic and adaptive approaches and their further development to ensure sustainable crop production.

An Evaluation Scheme Driven by Science and Technological Innovation—A Study on the Coupling and Coordination of the Agricultural Science and Technology Innovation-Economy-Ecology Complex System in the Yangtze River Basin of China

This study focuses on 19 provinces in the Yangtze River Basin of China. It gathers relevant data indicators from 2010 to 2021 and constructs an evaluation index system centered on agricultural science and technology innovation. The study evaluates the relationship between agricultural “science and technology innovation-economy-ecology” systems and identifies key obstacle factors using the obstacle degree model. The study draws the following conclusions: Firstly, the comprehensive development level index of the agricultural science and technology innovation system shows an overall linear upward trend (values range from 0.121 to 0.382). Secondly, the comprehensive development level index of the agricultural economic system exhibits an upward trend but with a relatively small overall magnitude (values range from 0.248 to 0.322). Thirdly, the comprehensive development level index of the agricultural ecological system demonstrates significant overall fluctuations, with notable regional disparities (values range from 0.384 to 0.414). Fourthly, the overall agricultural SEE (Science and technological innovation, Economy, Ecology) complex system exhibits a characteristic of “high coupling, low coordination”, identifying the main obstacle factors influencing agricultural SEECS based on a formulated approach. Subsequently, the following policy recommendations are proposed: Firstly, enhance the agricultural technological innovation system and promote green and efficient agricultural technology research and development. Secondly, to accelerate the transformation and upgrading of modern agriculture, achieving green and high-quality development of the agricultural economy. Thirdly, to strengthen agricultural ecological environment protection, laying a solid foundation for the healthy and sustainable development of agriculture.

Assessing the integration of agroecological principles in smallholder farming systems in North African irrigated plains

ABSTRACT This study assesses the extent to which growers integrate the 13 principles of agroecology within their farm activities. This is a first step that helps to determine the changes required in different farm components to foster the adoption of agroecology. We used the holistic Farm-Level Agroecology Criteria Tool (F-ACT) to assess the alignment with agroecological principles of 31 farms representative of smallholder irrigated family farms in the Merguellil Plain region of central Tunisia. Although various agroecological practices were implemented, the results revealed little integration of agroecological principles at the farm level, estimated at 34% of the full transition. In a difficult production resource access context, recycling and reducing inputs were the principles mostly applied, with the goal of improving resource use efficiency and farm system resilience. More specialized and market-oriented farms tended to rely on conventional practices, while diversified farms, often cultivating their own land, exhibited more sustainable practices. Although producers’ dominant rationale was to improve their market access, thereby often resorting to more conventional practices, we nevertheless noted interesting practices such as mixed crop and livestock production, which could facilitate the transition to more agroecological systems in these lowlands where production factors are scarce.

Effect of Soil Amendments on the Aggregate Stability, Biological Activity, and Yield of Canola (Brassica napus L.) in Degraded Soils

ABSTRACT Recycling organic waste and water treatment residues in nanoform is a promising technology in various farming systems, and its effect on aggregate stability, biological activity, and canola production in degraded soils is largely unknown. Hence, we evaluated the effect of nano-biochar (nB) and nano-water treatment residues (nWTR) at levels 50, 100, and 250 mg kg−1 as compared to soil without amendments on the aggregate stability, biological activity, and canola yield in degraded soil. The results showed that the structure coefficient (SC) values are higher when nB and nWTR are added at 100 mg kg−1 soil than at levels 50 and 250 mg kg−1. In our study, the high aggregate stability in the soil treated with nB and nWTR is likely due to their higher content of nutrients, organic carbon, clay, and CEC. The seed weight of the canola plant increased with increasing nB by more than 64%, while it decreased with increasing nWTR. Microbial biomass carbon (MBC) and the activity of dehydrogenase (DHA) and catalase (CLA) increased significantly in the treated pots with the addition of nB and nWTR at various rates. The results of the pot experiment recommended that the applications of nWTR and nB could be used as a promising strategy to improve soil quality and crop yield while also increasing the recycled efficiency of WTR and rice straw.

A preliminary report of integrating sheep farming in combination with adopting biogas technology in organic rice farming systems in upland areas in Indonesia

This study aims to understand the preliminary results of integrating sheep farming in combination with adopting biogas technology in organic rice farming (ORF) systems in upland areas. The research was conducted in upland areas in Grabag Subdistrict Magelang Regency, Central Java Province (UPL1) and Kertasari Subdistrict, Tasikmalaya Regency, West Java Province (UPL2), Indonesia. At each upland area, a demo plot with a 17 m3 digester has been established, and 120 sheep were introduced. A combination of sheep and beef cattle manure was used as a biogas substrate. The soil sample of one and three-year conversion of ORF was collected, and macro and micro minerals were analyzed. The biogas quality was analyzed, including dry matter (DM), nitrogen (N), carbon (C) and nitrogen-ammonia (N-NH3). The greenhouse (GHG) emissions, including methane (CH4), carbon dioxide (CO2), and nitrous oxide (N2O), were measured. The results indicated that C-organic content at three-year conversions of ORF in UPL1 was much lower (P<0.05) than the one-year conversion. The average CH4, CO2, and N2O contents in UPL1 were 661, 477.3, and 0.16 mg/m2/day, respectively. The average CH4, CO2, and N2O contents in UPL2 were 3328, 3038 and 2.42 mg/m2/day, respectively. In UPL1, the proportion of CH4 was 52.5 %, CO2 was 47.4 %, and N2O was 0.01 % while the proportion of CH4 was 57.9 %, CO2 was 42.0 %, and N2O was 0.01 % in UPL2. To conclude, integrating sheep farming in combination with adopting biogas technology in the ORF system improves manure management and provides organic fertilizer, which subsequently reduces the use of artificial fertilizer and avoids GHG emissions.v

Resurgent diversity: upland agriculture, indigenous crops and foodways in Eastern Himalayas

ABSTRACT In this article, we are concerned with the cultivation of food crops – comparing trajectories of millets and buckwheat in Eastern Himalayas, and the circumstances under which farmers plant or forgo certain crops. Crop choices and how farmers cultivate their crops have far-reaching consequences for society, economy and the environment. With accelerating climate change, present global, corporate food regime based on a handful of genetically identical crops appears as a high-risk venture. For many Indigenous peoples alternatives to and negotiations with these regimes are commonly located in their traditions: the crops, foodways, and diversity-based agricultural systems of their ancestors even as a multitude of factors have conspired to their decline across the Eastern Himalayan Region. Yet, paradoxically, with climate change these crops, agriculture and knowledge systems seem to hold the future, especially for smallholder farmers.

Insect Production: A Circular Economy Strategy in Iceland

In this review, the multifaceted issue of food security is addressed, emphasizing the need for innovative and culturally appropriate solutions. Exploring insect livestock farming emerges as a potential remedy, offering a pathway to alleviate food insecurity and promote food sovereignty, particularly when integrated with social acceptability. Stakeholder engagement on both production and consumption fronts, coupled with sustained support, is vital for successful implementation. The expanding landscape of commercial insect farming in the West prompts questions about its broader scalability and equitable deployment, especially for vulnerable populations. Existing research gaps underscore the need for a coordinated effort across international, national, and legal frameworks to effectively integrate insect farming into existing agricultural systems. In this review, we have delved into the industrial-scale production processes of mealworms and black soldier flies (BSFs), known for their high protein content and organic waste conversion, covering small and industrial cultivation methods, offering insights into mealworm production life cycles, innovative rearing systems, and harvesting techniques. This review concludes with climate-specific recommendations for insect facilities, stressing the importance of sustainable practices, continuous research and development, effective market strategies and economic feasibilities in Iceland. In the context of escalating demand for sustainable protein sources, industrial-scale insect production emerges as a pivotal player in addressing global food security challenges.

The Intersectionality Between Amazon and Commodities Production: A Close Look at Sustainability

Food production’s environmental, economic, and social challenges should be demystified through quantitative data. Therefore, the objective of this paper was to investigate the ecoregional sustainability of the Amazon biome from the perspective of the environmental life cycle, economic feasibility, and social life cycle analysis, emphasizing the pillars of sustainability in the production of three commodities: soybean, beef cattle, and Brazil nuts. Carbon footprint, net present value, and worker endpoint were the metrics evaluated. According to the results found in this study, the livestock presented greater environmental burdens in terms of carbon balance when compared to the production of Brazil nuts and soybean production with carbon balances in the order of 4.75 tCO2eq/ha, −0.02 tCO2eq/ha, and −1.20 tCO2eq/ha, respectively. From an economic viewpoint, the extractive production of Brazil nuts presented the highest net profit per hectare/year (USD 559.21), followed by the agricultural system (USD 533.94) and livestock (USD 146.19). Finally, in relation to the social aspect of the production systems analyzed, the negative impacts linked to beef cattle production are related to the subcategories of forced labor and equal opportunities, and the positive impacts linked to soybean production are related to the subcategories of salary and benefits. The results highlight a genuine and sustainable balance in Brazil nuts extraction, presenting it as an investment for a sustainable future while demystifying the multifaceted information related to food production as a whole, in order to assist in decision-making and the formulation of public policies.

Agricultural Waste for Energy Storage, Conversion and Agricultural Applications

Agricultural waste residues (agro-waste) present a significant source of carbohydrates that are often underutilized despite their valuable properties. With increasing urbanization and limited non-renewable resources, the valorization of agro-waste is imperative. The global energy demand is on the rise, driven by factors such as population growth, industrialization, and a desire for enhanced living standards. Traditional energy sources, especially fossil fuels, have come under scrutiny for their environmental impact and limited availability. Consequently, there is an increasing focus on developing renewable and sustainable energy solutions, particularly through the use of agricultural waste. Agricultural waste—including crop residues, animal manure, and byproducts from food processing—represents a largely untapped resource for energy production. Converting this waste into valuable energy can help meet rising energy needs while offering environmental and economic advantages, such as mitigating waste disposal issues and creating additional income sources for the agricultural sector. Despite the significant potential of agricultural waste for energy storage and conversion, several challenges remain. These include issues related to logistics and transportation, the need for pretreatment, and concerns about economic feasibility. Future research should aim to enhance conversion technologies and better integrate agricultural waste into energy and agricultural systems. This review discusses various energy conversion technologies and applications of agricultural waste, including biofuels, biogas, and direct combustion, while exploring its role in energy storage through biochar. This review examines the composition and properties of agricultural waste, the various technologies available for energy conversion, and how agricultural waste can be utilized as a feedstock for biofuels, biogas, and direct combustion. It also investigates the integration of agricultural waste in energy storage solutions like biochar and explores other agricultural applications beyond energy production.

Pollen foraging mediates exposure to dichotomous stressor syndromes in honey bees.

Recent declines in the health of honey bee colonies used for crop pollination pose a considerable threat to global food security. Foraging by honey bee workers represents the primary route of exposure to a plethora of toxins and pathogens known to affect bee health, but it remains unclear how foraging preferences impact colony-level patterns of stressor exposure. Resolving this knowledge gap is crucial for enhancing the health of honey bees and the agricultural systems that rely on them for pollination. To address this, we carried out a national-scale experiment encompassing 456 Canadian honey bee colonies to first characterize pollen foraging preferences in relation to major crops and then explore how foraging behavior influences patterns of stressor exposure. We used a metagenetic approach to quantify honey bee dietary breadth and found that bees display distinct foraging preferences that vary substantially relative to crop type and proximity, and the breadth of foraging interactions can be used to predict the abundance and diversity of stressors a colony is exposed to. Foraging on diverse plant communities was associated with increased exposure to pathogens, while the opposite was associated with increased exposure to xenobiotics. Our work provides the first large-scale empirical evidence that pollen foraging behavior plays an influential role in determining exposure to dichotomous stressor syndromes in honey bees.

Construction and Optimization Strategies for Rural Residential Spatial Models Based on the Concept of Resource Metabolism: A Case Study of Rural Areas in the Shandong Plain

Rural communities can be conceptualized as spatial organisms interconnected by optimized resource utilization systems. Investigating the efficient utilization of rural resources and spatial construction methods grounded in resource metabolism is a pivotal step toward achieving the ecological transformation of rural spaces. This paper examined rural settlements in the Shandong Plain as a case study, exploring the relationships among three scales: village, neighborhoods, and courtyards. This analysis was based on elucidating the interaction mechanisms between “space and resource” and the integration of key resources and spatial elements. From the perspective of resource circulation and metabolism, this study aimed to elucidate the equilibrium of each resource element within three resource metabolism subsystems: the agricultural production system (core element), the ecological technology system (technological link), and the human life system (spatial carrier) in Shandong Plain’s villages, considering general climatic conditions. To achieve this, this research utilized the resource production volume, the utilization and transformation volume of resource metabolism technology facilities per unit area, and the average per capita resource consumption as fundamental measurement units. The concept of a rationing relationship is introduced to clarify resource allocation. Combining the aforementioned research on spatial resource metabolism in ecological villages in Shandong Province with the material flow analysis method, this study constructed a bottom–up spatial model of resource metabolism at three scales, courtyards, neighborhoods, and villages, under various resource metabolism scenarios. This study is anticipated to significantly contribute to the theoretical understanding of rural habitat environments, offering novel methods and perspectives for constructing ecological rural settlements.

Design of agricultural question answering information extraction method based on improved BILSTM algorithm

With the rapid growth of the agricultural information and the need for data analysis, how to accurately extract useful information from massive data has become an urgent first step in agricultural data mining and application. In this study, an agricultural question-answering information extraction method based on the BE-BILSTM (Improved Bidirectional Long Short-Term Memory) algorithm is designed. Firstly, it uses Python’s Scrapy crawler framework to obtain the information of soil types, crop diseases and pests, and agricultural trade information, and remove abnormal values. Secondly, the information extraction converts the semi-structured data by using entity extraction methods. Thirdly, the BERT (Bidirectional Encoder Representations from Transformers) algorithm is introduced to improve the performance of the BILSTM algorithm. After comparing with the BERT-CRF (Conditional Random Field) and BILSTM algorithm, the result shows that the BE-BILSTM algorithm has better information extraction performance than the other two algorithms. This study improves the accuracy of the agricultural information recommendation system from the perspective of information extraction. Compared with other work that is done from the perspective of recommendation algorithm optimization, it is more innovative; it helps to understand the semantics and contextual relationships in agricultural question and answer, which improves the accuracy of agricultural information recommendation systems. By gaining a deeper understanding of farmers’ needs and interests, the system can better recommend relevant and practical information.

Enhancing University-based Organic Product Initiatives through Digital Innovation: a Case Study of Dev Bhoomi Uttarakhand University

This study explores the potential of digital innovation to enhance the organic product initiative at Dev Bhoomi Uttarakhand University (DBUU). Through a mixed-methods approach, including interviews and surveys, we identified key challenges in the current workshop-based production model, such as inefficient order management and lengthy fulfillment times. We propose a mobile application, "DBUU Organic," designed to streamline operations, enhance educational value, and facilitate growth. The app integrates inventory management, order processing, and educational components, addressing current inefficiencies while providing students with hands-on experience in sustainable agribusiness. This research contributes to the growing body of knowledge on integrating technology in agricultural education and sustainable food systems, offering a model for other institutions to emulate.

Numerical modeling of an offshore shellfish farm exposed to extreme wave conditions

Shellfish cultivation is a sustainable method of providing human food and can help remove large amounts of CO2 from the atmosphere. Over the last two decades, longline-based structures have dominated farming systems. So far, the innovative technologies for open-ocean shellfish farming remain stagnant and need to be developed. As such, this paper preliminarily studies the operation and survivability abilities of an innovative shellfish farm under extreme wave conditions. To that end, an efficient numerical scheme with a robust implicit finite element method is established. First, the numerical modeling of a single module of the shellfish farm is conducted and the numerical results are verified against physical model tests. Then, the numerical modeling is implemented in a full-scale shellfish farm containing nine floating rafts with suspended lantern nets in a 3×3 configuration exposed to extreme wave conditions. Different angles of wave attack and shellfish rafts with and without lantern nets are fully considered, allowing an assessment of the operation and survivability abilities of the shellfish farm under extreme wave conditions in various situations. The results highlight that the angle of wave attack significantly affected the energy absorption of the mooring system. Moreover, non-linear instability such as subharmonics, which existed in the motion dynamics, can be manipulated to avoid resonant motions. This study provides insights into the evaluation of the safety design of a shellfish farm at both operational and survivability levels. The numerical method can also model other advanced offshore marine structures with multi-modules, such as floating bridges, airports, and even floating energy islands.

Unraveling the intriguing potential of protein-rich microbial biostimulants for horticultural crops

Nutritional security and minimizing the impact of farming practices on the environment are major challenges in modern farming systems. Currently, the horticulture sector is growing fast and moving towards sustainability and profitability. Indiscriminate and improper use of chemical inputs to ensure high yields of horticultural products could lead to significant contamination of soil and water bodies. Under these circumstances, farmers must optimize their input management to reduce pollution and preserve the economic margin by following sustainable production practices. The use of precision horticulture techniques is more sustainable than conventional to intensive farming methods. Among the various eco-friendly inputs, plant biostimulants are highly effective and can enhance plant growth and production as well as mitigate the adverse effects of abiotic stressors. Protein Hydrolysates (PHs) are a significant class of plant biostimulants based on amino acid and peptide mixtures. Because of their beneficial effects on crop performance, PHs has drawn increased amounts of attention recently. Compared with other biostimulants microbial biostimulants are more prevalent in crop production. A new approach is the formulation of a mixture of plant growth-promoting microorganisms/microbe-derived metabolites and protein hydrolysates as single biostimulants, to nourish the soil, plants and microbes. This review presents a thorough summary of recent research on the postulated modes of action of PHs and microbial biostimulants in horticultural crops. Furthermore, this study highlights the potential of protein hydrolysates and microbial biostimulants and the potential of the protein-rich microbial biostimulants to make horticulture more profitable and to safeguard the environment.

Commodity association’s roles and determinants of farmers’ participation in their climate change adaptation activities in Sierra Leone

ABSTRACT This paper examined the commodity association’s roles and determinants of farmers’ participation in climate change adaptation in Sierra Leone. The three most prominent commodity associations were purposively selected due to membership size and the diversity of services rendered to members, which was followed by random selection of elected leaders to give a sample size of 140. A structured questionnaire was used to collect data and subjected to percentages and Probit regression analysis. The results show that the majority of the respondents across the crop, fishery and livestock commodity associations are middle-aged, male, with no formal education, married, high awareness of climate change, high incidence of climate change activities and low socioeconomic status. The use of community radios to present programs on climate adaptation techniques to members across different commodity associations is the most prominent activity (55.67%). Other major prominent climate adaptation activities of commodity associations are community mobilisation (53%), community seed multiplication (52.33%), diversification of livelihoods (50.67%) and workshops (50%). The determinants of participation in community associations’ climate adaptation activities are age, gender, socioeconomic status, education, socioeconomic status, climate change incidence, farming system factors and climate change awareness. The commodity associations are thus enhancing climate adaptation through services and activities to their members.

Solar-powered modern poultry farm: a case study BAYAT complex Ouargla, Algeria

Energy consumption in poultry farming systems has a direct impact on the thermoregulation of the chickens, the ventilation of the house, and the quality of the air to provide a suitable indoor environment for chicken health. This makes the poultry industry an energy-intensive sector, with gas and electricity as major expenses. Therefore, the integration of solar photovoltaic systems can enhance energy saving in poultry farming, and reduce the emission of greenhouse gases. Accordingly, this study conducts thermal analysis to predict heat losses in winter and heat gains in summer according to the method described in the Regulatory Technical Documents (DTR). Our industrial poultry farm is the BAYAT Complex located in the Wilaya of Ouargla. The results obtained show that the total heating power is about 117.67 kW for a livestock building of 120x14 m² area containing 16000 chickens, while the cooling power for the same building is 553.92 kW. In the case of heating, the greatest heat loss comes from losses by transmission, about 88%. In the case of cooling, the internal thermal contributions represent 81% of that which enters through the structure of the building, of which 40% are latent internal contributions while 41% are sensitive.