Search Results (47)

Ammonia emissions in poultry houses are common and pose health concerns for animals and workers. However, effective control of these emissions with sustainable products is lacking. Therefore, we investigated if an agricultural byproduct, cottonseed hulls, could be recycled through pyrolysis and used to remove ammonia from air. In this study, the efficacy of ammonia removal was observed using cottonseed hull biomaterials pyrolyzed at seven different temperatures: 250, 300, 350, 400, 500, 600, and 700 °C. In this study, ammonia was passed through a column filled with pyrolyzed material, and ammonia in the filtered air was monitored. The results showed that materials pyrolyzed at intermediate temperatures of 350 and 400 °C were the most efficient at ammonia removal and were able to adsorb approximately 3.7 mg NH₃/g of material. Despite extensive characterization, ammonia adsorption could not be linked to intrinsic material properties. Evaluation of the materials showed that the carbon in the pyrolyzed materials would be stable over time should the spent material be used as a soil amendment. Full article

To facilitate the adoption of a food safety standard by producers, it is essential to understand their perception of it. However, few empirical studies have examined how livestock farmers perceive food safety standards in Vietnam. This research examines sheep farmers’ attitudes towards Vietnamese Good Agricultural Practices (VietGAP), a type of a food safety standard in Vietnam. A sample size of 109 farmers was selected for interviews and a structured questionnaire was generated to collect data. Descriptive and bivariate analyses were employed. The study results show that sheep farmers were well aware of most VietGAP requirements. They perceived that adopting VietGAP requires practical changes in sheep farming systems, including: selecting breeding stock from clear sources to ensure sheep product traceability, collecting and treating wastes daily to protect the environment, and frequent sterilization of sheep cages. The farmers were changing several practices to comply with VietGAP. Key changed practices identified included: bought breeding stock from clear and reliable sources, frequent collecting and treating of sheep wastes, and used veterinary medicine according to instructions of veterinary medicine producers. Statistically significant relationships existing between the sheep farmers’ perceptions and their education level (Pearson = 0.229, p = 0.017), farm size (Pearson = −0.193; p = 0.049), gender (Eta = 0.173, p = 0.060), practice of using labours (Eta = 0.202, p = 0.028), training participation (Eta = 0.211, p = 0.022), credit participation (Eta = 0.177, p = 0.050), community-based organisations (Eta = 0.153, p = 0.087), and veterinary/extension contacts (Eta = 0.217, p = 0.019) were found. This means that a male sheep farmer who had a higher education level, possessed a smaller farm, practiced hired labours, participated in training/credit programs, was a member of community-based organisation, and had contacts with veterinary/extension workers likely perceived VietGAP better than their counterparts. Based on the findings of this study, it is recommended that the promotion of VietGAP for livestock farmers should be developed and carried out as joint attempts along the value chain actors. New food marketing practices and legal framework and policy for using safe food certifications are required to address to promote farmers’ adoption of VietGAP and facilitate transition towards a sustainable agri-food system in Vietnam. This study provides significant insights into safety food standard adoption by livestock farmers and highlights aspects that require to be considered when developing policies to improve the adoption of safety food standards in developing countries. Full article

This study examines the effect of China’s Pilot Policy for Migrant Workers Returning Home for Entrepreneurship on High-Quality Agricultural Development (HQAD) at the county level. Despite extensive research on return migration and rural development, few studies have focused on how such entrepreneurship policies affect HQAD. We analyze county-level panel data from 2014 to 2021 using a difference-in-differences (DID) approach to assess the policy’s effectiveness and its regional variations across China. We further validate our findings through robustness tests, including parallel trend tests, placebo tests, and propensity score matching combined with difference-in-differences analysis (PSM–DID). The results indicate that the pilot policy significantly enhances HQAD (β = 0.216, p < 0.001), with more pronounced effects in the Eastern region (β = 0.401, p < 0.001) than in the Central region (β = 0.312, p < 0.001), and no significant effects in the Western region. Additionally, our analysis shows that population agglomeration (β = 0.306, p < 0.001) and technological innovation (β = 2.970, p < 0.001) positively moderate the policy’s impact, whereas e-commerce development (β = −0.257, p < 0.001) has a negative moderating effect. These insights highlight that the success of return entrepreneurship policies is heavily dependent on regional characteristics and supportive development factors, offering crucial implications for refining policies in rural development strategies. Full article

Invasive red imported fire ants (Solenopsis invicta) create a serious threat to public safety, agriculture, biodiversity, and the local economy, necessitating early detection and surveillance, which are currently time-consuming and dependent on the inspector’s expertise. This study marks an initial investigation into the potential of honeybees (Apis mellifera) to detect and discriminate the odor of S. invicta through the olfactory conditioning of proboscis extension responses. Deceased S. invicta were used as conditioned stimuli to ensure relevance to non-infested areas. The results showed that the bees rapidly learned to respond to deceased ant odors, with response levels significantly increasing at higher odor intensities. Bees exhibited generalization across the odors of 25 minor workers, 21 median workers, 1 major worker, and 1 female alate. When conditioned with deceased ant odors, bees effectively recognized live ants, particularly when trained on a single minor worker. Discrimination abilities varied by species and were higher when S. invicta was paired with Polyrhachis dives and Nylanderia yaeyamensis, and lower with S. geminata, Pheidole rabo, and Pheidole fervens. Notably, discrimination improved significantly with the application of latent inhibition. These findings suggest that trained honeybees have the potential to detect S. invicta. Further refinement of this approach could enhance its effectiveness for detection and surveillance. Full article

In this study, we construct heterogeneous agent general equilibrium models to investigate the relative importance of labor endowment in driving structural transformation. We aim to explore the following question: beyond the demand-side and supply-side structural transformation driving forces extensively studied in the existing literature, does labor, as a crucial endowment, play a pivotal role in facilitating structural transformation and the energy economy? In contrast to the prevalent partial equilibrium analyses, our study employs a general equilibrium framework to conduct a policy evaluation of college expansion, a significant policy that has altered the labor endowment structure in China. Our approach begins with developing a multi-sector model that integrates a nested CES production function and incorporates workers with different skill levels to assess the macroeconomic impact of college expansion on structural transformation. We calibrate the base model to reflect labor allocations across sectors and skill levels using the simulated method of moments (SMM), ensuring that the model-generated data align closely with actual labor allocation data. Utilizing this calibrated model, we perform counterfactual experiments to assess the impact and relative importance of the college expansion policy. Our counterfactual analysis demonstrates that the policy has resulted in an average decrease of 7.7% in labor allocation in the agricultural sector, alongside an average increase of 8.9% in the industry sector and 28.7% in the services sector. These results highlight the significant, yet often overlooked, contribution of labor in endowment-driven structural transformation. Furthermore, we extend the base model by constructing an industry-level heterogeneous agent general equilibrium model, enabling us to pinpoint which industries have developed as a result of the college expansion policy and recalibrate it at the industry level. This approach allows us to analyze the impact of changes in labor endowment on the energy economy. Counterfactual experiments conducted show that the college expansion policy has prompted a labor shift from industries with low energy efficiency and high pollution to high-end services. This macroeconomic pattern of structural transformation suggests that the college expansion policy has facilitated a transition toward a low-carbon economy by reducing dependency on high energy-consuming industries and promoting high-end services. Full article

The projected population increase and drastic climate changes are a great setback to food security through sustainable agriculture. However, governments need to play key roles in supporting the agriculture sector, which creates considerable employment and contributions to most countries’ Gross Domestic Product (GDP) outcomes. In many countries, the governments already support the agriculture sector with services based on Information and Communication Technology (ICT) to reach many stakeholders, including smallholder farmers. This paper investigated the status of e-Government services in the agriculture sector for farmers in order to understand the functions and scope of e-services, the challenges faced by farmers, both addressed and unaddressed, and the challenges of ICT-based services for farmers and other stakeholders in Tanzania. We used a qualitative research approach to interview the Ministry of Agriculture, farmers, extension workers, and agriculture processing industries. The main finding reveals that e-government services play a major role in the agriculture sector in Tanzania. Our results show that the pre-existing ICT services identified for farmers cannot meet the needs of farmers in a complete farming cycle. Moreover, lack of awareness, digital illiteracy, and poor infrastructure are the major challenges faced by farmers and other stakeholders when it comes to ICT-based services. These results justify the need for a comprehensive digital platform, particularly the proposed Farmers Digital Information System (FDIS) to enable farmers and other stakeholders to access essential services in a complete farming cycle for a more sustainable agriculture. Full article

The intensive agriculture that is used in many countries has led to a reduction in biodiversity and the deterioration of the environment. Therefore, it is important to increase the adoption of cropping systems with high biodiversity. The objectives of the present study were the following: 1. assess the performance and sustainability of novel highly diversified production systems compared to the current traditional system and 2. provide quantitative economic and ecosystem service information for farmers, extension workers, and policy makers in order to support the development of sustainable and resilient high species cultivar/landrace diversification (HSD) production systems. The rotation of wheat–pea–barley was a system with low energy inputs and high outputs, significantly increasing the energy efficiency. Also, the same system demonstrated better economic and environmental indices, making it a suitable cropping system for Mediterranean areas. Full article

Improving agricultural productivity to ensure food security while maintaining sustainability is a challenge that needs to be overcome in Bali, Indonesia. Ten farmers in Karangasem Regency, which is among the areas in Bali with a low food security index, were interviewed regarding their agricultural practices and government support for increasing the production of rice and chili—the main crops in the regency—while maintaining sustainability. The interview results revealed that the farmers recognized a lack of sunlight and disease as constraints to cultivation and attempted to improve productivity and control the disease by selecting varieties, cropping systems, and synthetic insecticides based on their previous experiences and the recommendations of agricultural extension workers. The Karangasem Regency Government actively encourages farmers to use biofertilizers and biological control agents to promote sustainable agriculture. Their use to improve rice and chili productivity is important to sustainably increase food security not only in Karangasem Regency but also in Bali Province. Furthermore, since agricultural extension workers are a source of information on agricultural production for farmers, it is important to train them for further extension activities in the future. Full article

The global use of pesticides, exceeding 4 million tons annually, poses substantial threats to public health and the environment. Numerous studies emphasize the correlation between pesticide exposure, genotoxicity, and neurobehavioral effects, which particularly impact children and agricultural workers. Recent research underscores the health risks associated with moderately toxic pesticides like chlorpyrifos. Chlorpyrifos contamination in crops, a result of extensive pesticide use since the 1960s, raises significant concerns regarding human health and the environment. Given its potential atmospheric volatilization from crops, alternative detection methods are imperative. This study employs gas chromatography coupled with mass spectrometry (GC/MS) in MS/MS mode, focusing on detecting chlorpyrifos in Chilean lettuce, using insects as indicators. Two extraction methods, micro-QuEChERS and HEADSPACE-SPME, were compared, with HEADSPACE-SPME demonstrating superior sensitivity (6.77 ng/mg per sample vs. 3.99 ng/mg per sample) and offering time- and solvent-saving advantages. Additionally, HEADSPACE-SPME preserves samples for future research, enhancing its utility. The study confirms the presence of pesticide residues in insects from lettuce crops, with 52.3% displaying chlorpyrifos when the SPME method was used. Predatory and parasitoid insect families like Braconidae and Ichneumonidae show high pesticide loads. The findings of this study emphasize the widespread contamination of chlorpyrifos in lettuce crop insects and highlight the efficacy of SPME for detection, suggesting its broader applicability for evaluating pesticide residues in horticultural systems. This optimized method holds promise for advancing chlorpyrifos contamination detection in agroecosystems, contributing to environmental monitoring and food security. Full article

This study explored the multifaceted factors influencing the efficiency of hybrid maize production and investigated the possible implications for food security. The study adopted a comprehensive approach, examining personal, household, physical, and institutional factors that affect farmers’ productivity. Findings revealed the technical, allocative, and economic efficiencies through a combination of field surveys, data analysis, and econometric modeling. The mean technical, allocative, and economic efficiency scores for the sampled farms were 0.89, 0.66, and 0.59, respectively. Moreover, the result of Tobit regression analysis showed high significance of all three efficiencies. The significant factors associated with technical efficiency were farm size, age of farm household, maize farming experience, maize farming area, distance from the farm to the main market, number of visits by extension workers, credit access, and Okara district. In addition, the number of visits by extension workers, districts (Sahiwal and Okara), age of farmers, maize farming experience, and regional disparity (Sahiwal district) had substantial influences on allocative and economic inefficiencies in the hybrid maize-growing farms. Policymakers and agricultural stakeholders can develop focused strategies to improve farmers’ productivity and overall food security by identifying the key factors associated with hybrid maize production. Tailored interventions that address knowledge gaps, improve resource allocation, and provide improved institutional support can help make food systems more sustainable and resilient. Full article

Many growers rely on good agricultural extension services to successfully grow their crops. Correct field diagnoses of plant health problems are an essential starting point. However, some agricultural extension workers may have had limited capacity building in field diagnosis during their agricultural education, and many may have had limited or no continuing education possibilities during their advisory work life. As a result, errors may occur in the course of diagnosis of plant health problems with devastating consequences. The objective of this study, therefore, was to assess the value of short and inexpensive in-service training that is intended to improve the quality of field diagnosis of plant health problems. Eight groups of agricultural extension workers totaling 165 participants were trained during a 3-day-long intensive course in the diagnosis of plant health problems as part of the plant doctor training in the Plantwise program in Burundi (44 ± 9 years of age, 14 ± 10 years of experience in agriculture and 8 ± 7 years in extension; 10% females). Empirical data from before-versus-end and after-course analyses revealed that such courses can indeed increase knowledge and skills in field diagnosis by 20 ± 8% points during the training and by 9 ± 4% points when having worked for 8 to 19 months after training. The level of variability among extension workers was also reduced by 0.8 ± 1% points pre-course versus end-course, and by 1.1 ± 0.3% points from pre- versus post-course. Interestingly, there seemed little to no influence of work experience in agricultural extension on the quality of field diagnosis of plant health problems. More advanced educational levels only slightly improved the diagnosis quality of extension workers; gender played no role; younger workers performed slightly better than older ones. This may indicate a lack of opportunities for further training as part of continuing adult education. Our results suggest regularly repeated in-service training for agricultural practitioners may be beneficial. Investments in such training seem worthwhile since better diagnoses can lead to more appropriate pest management advice and judicious use of pesticides. Full article

Global population growth, especially in developing countries, will most likely require an increase in agricultural production, but the sustainability of this production cannot be achieved without the preservation of ecosystem functions. Therefore, farmers need to know about, and deal with, the trade-offs between agricultural productivity and ecosystem functions and services. This review aims to assess practical science-based tools that can be used to make decisions for sustainable agricultural production. We reviewed 184 articles and divided them into categories depending on whether they describe tools, practices, ecosystem services, models, or other topics. Although many studies were global in scope, the approach to analyzing and assessing trade-offs appears to vary geographically. The review showed that trade-offs between agricultural productivity and ecosystem functions are most commonly studied in Europe and Asia, while few studies have been conducted in sub-Saharan Africa. Most tools in the review addressed only one or a bundle of ecosystem services, related to water, biodiversity, or climate regulation, and were designed for different types of land use and ecosystems and applicable at different scales. More practical tools for trade-off analysis have mainly been developed and applied by development organizations with support from science. Closer collaboration between practitioners, development organizations, and scientists is suggested to foster co-development of tools useful for identifying sustainable strategies for closing the yield gap, increasing productivity and for balancing ecosystem services, building on the Sustainable Development Goal’s framework and its targets for agricultural productivity and ecosystem services for trade-off analysis. We recommend the development and fine-tuning of the identified tools to specific contexts and landscapes through innovation platforms bringing together farmers, extension workers, scientists, and local decision-makers. Full article

Understanding long-term agricultural productivity is essential for designing agricultural policies, planning and targeting other economic policies (e.g., industrial policy), and managing agricultural business models. In a developing and oil-rich country such as Azerbaijan, agriculture is among the limited opportunities to diversify oil-based value added and address broad welfare issues, as farmers and agricultural workers account for a large share of total employment and the labor force. However, previous studies have not focused on an empirical assessment of the long-term and subsectoral productivity of crop commodities. Rather, they have used a highly aggregated and short-run perspective, focusing mainly on the impact of the oil sector on agricultural sectors. Here, we applied principal component analysis and hierarchical cluster analysis to identify similarities and differences in the productivity of specific crop commodities (e.g., cotton, tea, grains, tobacco, hay, fruits, and vegetables) between 1950 and 2021. We show that some crops are similar in terms of their variation, growth rates, and transition from the Soviet era to the post-Soviet period. Although the dynamics of change are different for food and non-food crops and for high- and low-productive commodities, it is still possible to narrow down specific subsectors that could reach the same productivity levels. This helps map out the productivity levels of crop commodities over time and across different subsectors, allowing for better policy decisions and resource allocation in the agricultural sector. In addition, we argue about some outlier commodities and their backward status despite extensive government support. Our results provide a common basis for policymakers and businesses to focus specifically on productivity and profitability from an economic standpoint. Full article

Ecological agriculture (E.A.) protects soil, water, and the climate, ensuring nutritious food. It encourages biodiversity and prohibits chemical inputs or hybrids. Agricultural development strategy should prioritize the development of water, land, forests, biodiversity, agricultural infrastructure, research and extension, technology transfer, investment, and unified management to bring about significant changes in agriculture. Agricultural practices have resulted in deforestation, biodiversity loss, ecosystem extinction, genetic engineering, irrigation issues, pollution, degraded soils, and related waste. Food producers increasingly use artificial neural networks (ANN) at most agricultural production and farm management stages. A new EA-ANN method, including agriculture, has been widely employed to solve categorization and prediction tasks. In addition to maintaining natural resources, sustainable agriculture helps preserve soil quality, reduces erosion, and conserves water. Ecological farming uses ecological services, including water filtering, pollination, oxygen generation, and disease and insect management. ANN increases harvest quality and accuracy of evaluating the economy by enhancing productivity. Agriculture’s prediction and economic profitability are focused on the energy optimization afforded by ANN. Ecological knowledge is assessed in light of commercial markets’ inability to provide sufficient environmental goods. Future agriculture can include robotics, sensors, aerial photos, and global positioning systems. The proposed method uses supervised artificial learning to read the data and provide an output based on effectively classifying the natural and constructed environment. The probability distribution implemented in ANN is a function specifying all possible values and probabilities of a random variable within a specific range of values. The mathematical model assumes that EA-ANN utilizes machine learning on an internet of things platform with bio-sensor assistance to achieve ecological agriculture. Microbial biotechnology is activated, and the best option for EA-ANN is calculated for an effective data-driven model. This ensures profitability and limits the impacts of manufacturing, such as pollution and waste, on the environment. Various agricultural strategies can result in environmental concerns. The EA-ANN methodology is used to make accurate predictions using field data. Agricultural workers can use the results to plan for the future of water resources more effectively. Full article

Cereal-based diets contribute to anemia in Ethiopian children. Eggs have nutrients to boost hemoglobin levels as well as counter concurrent anemia and stunting (CAS) and morbidity status. A community trial, targeting 6–18 months old children, was conducted in Halaba. Two clusters were randomly selected and allocated to intervention (N = 122) and control (N = 121) arms. Intervention group (IG) children received egg-laying hens with caging in a cultural ceremony declaring child ownership of the chickens. Parents promised to feed eggs to the child. Health and agriculture extension workers promoted egg feeding, poultry husbandry, and sanitation to IG families. Control group (CG) had standard health and agriculture education. At baseline, groups were not different by hemoglobin, anemia, CAS, and morbidity status. Mean hemoglobin was 11.0 mg/dl and anemia prevalence was 41.6%. About 11.9% of children had CAS and 52.3% were sick. Using generalized estimating equations, the intervention increased hemoglobin by 0.53 g/dl (ß:0.53; p < 0.001; 95%CI: 0.28–0.79). IG children were 64% (p < 0.001; odds ratio [OR]:0.36; 95%CI: 0.24–0.54) and 57% (p = 0.007; OR: 0.43; 95%CI: 0.21–0.73) less likely to be anemic and have CAS, respectively, than CG, with no difference in morbidity. Child-owned poultry intervention is recommended in settings where anemia is high and animal-source food intake is low. Full article