Search Results (851)

Accurate cropland classification within smallholder farming systems is essential for effective land management, efficient resource allocation, and informed agricultural decision-making. This study evaluates cropland classification performance using Red, Green, Blue (RGB) and multi-spectral (blue, green, red, red-edge, near-infrared) unmanned aerial vehicle (UAV) imagery. Both datasets were derived from imagery acquired using a MicaSense Altum sensor mounted on a DJI Matrice 300 UAV. Cropland classification was performed using machine learning algorithms implemented within the Google Earth Engine (GEE) platform, applying both a non-binary classification of five land cover classes and a binary classification within a probabilistic framework to distinguishing cropland from non-cropland areas. The results indicate that multi-spectral imagery achieved higher classification accuracy than RGB imagery for non-binary classification, with overall accuracies of 75% and 68%, respectively. For binary cropland classification, RGB imagery achieved an area under the receiver operating characteristic curve (AUC–ROC) of 0.75, compared to 0.77 for multi-spectral imagery. These findings suggest that, while multi-spectral data provides improved classification performance, RGB imagery can achieve comparable accuracy for fundamental cropland delineation. This study contributes baseline evidence on the relative performance of RGB and multi-spectral UAV imagery for cropland mapping in heterogeneous smallholder farming landscapes and supports further investigation of RGB-based approaches in resource-constrained agricultural contexts. Full article

Smallholder farmers in semi-arid regions worldwide face persistent water scarcity, declining soil fertility, and increasing climate variability, which constrain food production. This study investigated soil and water management practices and their effects on soil health, crop productivity, and adoption among smallholder vegetable farmers in a semi-arid area in Kenya. A mixed-methods approach was employed, combining survey data from 397 farmers with a randomized field experiment. Results showed that hand watering (88.7%) and manure application (95.5%) were prevalent, while only 5.7% of farmers used drip irrigation. Compost and mulch treatments significantly improved soil organic carbon (p = 0.03), available water capacity (p = 0.01), and gravimetric moisture content (p = 0.02), with soil moisture conservation practices strongly correlated with higher yields in leafy green vegetables (R = 0.62). Despite these benefits, adoption was hindered by high water costs (42.6%) and unreliable sources (25.7%). Encouragingly, 96.2% of respondents expressed willingness to pay for improved water systems if affordable and dependable. The findings stress the need for integrated water–soil strategies supported by inclusive policy, infrastructure investment, and gender-responsive training to enhance resilience and productivity in smallholder farming under water-scarce conditions across sub-Saharan Africa and other regions globally, contributing to global sustainability targets such as SDG 6, 12 and 15. Full article

This study aimed to develop a credit risk index to classify coffee producers according to socioeconomic, agronomic, and financial performance variables, with the purpose of strengthening financial inclusion. We combined qualitative and quantitative methods to understand credit risk factors among smallholder coffee producers. The study followed a descriptive-analytical approach structured in consecutive methodological phases. The systematic review, conducted following the Kitchenham protocol, identified theoretical factors associated with credit risk, while fieldwork with 300 producers provided the socioeconomic and productive contexts of coffee-growing households. Producer income, cost of living, and farm management expenses were modeled using regression, statistical, and machine learning methods. Subsequently, these variables were integrated to construct a financial risk index, which was normalized using expert scoring. The index was validated using data from 100 additional producers, for whom annual repayment capacity and maximum loan amounts were estimated according to their risk level. The results indicated that incorporating municipal-level economic variables, such as estimated average prices, income, and expenses, enhanced predictive accuracy and improved the rational allocation of loan amounts. The study concludes that credit risk analysis based on variables related to human, productive, and economic capital constitutes an effective strategy for improving access to finance in rural areas. Full article

Cassava is one of the most important crops in global food security. It is the second most important staple crop in Africa. Its significance is enhanced by the fact that it very well tolerates droughts, and therefore it may be a prospective response to climate change in hot and dry areas. The potentials of cassava are under-utilized in Eastern Africa, and there is a lack of research studies regarding climate impacts on cassava yields in this region. The present research focuses on cassava production in Eastern Africa, analyzing the relationship of cassava yields, harvested areas, temperature, and precipitation from 1961 to 2023. The statistical analysis applies panel regression for the 63 years of time series, for the 15 most important cassava producing countries of Eastern Africa. Findings show that while the impacts of rainfall are insignificant on yields, the effects of temperature are significantly positive, indicating yield and area increases with warming climate. An expansion of the cassava growing area and the expanding rural population contributed to decreasing yields, probably because of the expansion of smallholder subsistence farming, suffering from to limitations in other farming resources. Therefore, even if climate change may benefit cassava production, other factors create severe limitations on improving yields. However, the positive response of the crop to rising temperatures is a clear sign that it is a useful choice for food security under climate change and would deserve more support from agricultural policymakers in Eastern Africa. Full article

As agricultural labor shifted toward non-farm sectors and the farming population aged, innovative production arrangements became essential to sustain land productivity. While partial agricultural production chain management (PAPM) was widespread, the productivity impact of whole-process agricultural production chain management (WAPM)—a comprehensive model integrating all production stages—remained empirically underexplored. Using nationally representative panel data from the China Labor-force Dynamics Survey (CLDS, 2014–2018) for grain-producing households, this study estimates the differential impacts of WAPM and PAPM with a two-way fixed-effects (TWFE) model, supplemented by propensity score matching (PSM) as a robustness check. The results show that WAPM significantly enhanced land productivity. Notably, the effect size of WAPM (coefficient: 0.486) is substantially larger than that of PAPM (coefficient: 0.214), indicating that systematic integration of service chains offers superior efficiency gains over fragmented outsourcing. Mechanism analysis suggests that WAPM improves productivity primarily by alleviating labor constraints and mitigating the disadvantages of small-scale farming. Furthermore, heterogeneity analysis demonstrated that these benefits are amplified in major grain-producing regions and hilly areas. These findings support policies that facilitate a transition from single-link outsourcing toward whole-process integrated service provision. Full article

At present, conventional cold storage facilities in China are poorly suited to on-farm storage demands for agricultural produce, mainly due to their large spatial requirements, complex and labor-intensive installation procedures, limited portability, and insufficient coverage in rural areas. These limitations significantly contribute to post-harvest losses of perishable crops such as cherry tomatoes. To address this challenge, the present study proposes a compact and temporary cold storage system—gas-inflated membrane cold storage (GIMCS)—which exploits the inherent safety, cost-effectiveness, ease of deployment, and adaptability of inflatable membrane structures. A series of mechanical performance tests, including tensile strength, pressure resistance, and burst tests, were conducted on PA/PE (Polyamide/Polyethylene) composite membranes. The optimal configuration was identified as a membrane thickness of 70 μm, a gas column width of 2 cm, and a PA/PE composition ratio of 35%/65%. Thermal performance evaluations further revealed that filling the inflatable structure with 100% CO₂ yielded the most effective insulation. Through structural optimization, a cotton-filled gas-inflated membrane cold storage system (CF-GIMCS) incorporating a dual insulation strategy—combining intra-membrane and extra-membrane insulation—was developed. This multilayer configuration significantly reduced conductive and convective heat transfer, resulting in enhanced thermal performance. A comparative evaluation between GIMCS and a conventional cold storage system of equivalent capacity was conducted over a 15-day storage period, considering construction cost, temperature uniformity, and fruit preservation quality. The results showed that the construction cost of GIMCS was only 38% of that of conventional cold storage. The internal temperature distribution of GIMCS was highly uniform, with a maximum horizontal temperature difference of 1.4 °C, demonstrating thermal stability comparable to conventional systems. No statistically significant differences were observed between the two systems in key post-harvest quality indicators, including weight loss and respiration rate. Notably, GIMCS exhibited superior performance in maintaining fruit firmness, with a hardness of 1.30 kg·cm⁻² compared to 1.26 kg·cm⁻² in conventional storage, indicating a potential advantage in shelf-life extension. Overall, these findings demonstrate that GIMCS represents an affordable, technically robust, and portable cold storage solution capable of delivering preservation performance comparable to—or exceeding—that of conventional cold storage. Its modularity, mobility, and ease of relocation make it particularly well suited to the operational and economic constraints of smallholder farming systems, offering a practical and scalable pathway for improving on-farm cold chain infrastructure. Full article

Livestock production in the high Andes is vital for rural livelihoods and food security but is limited by poor pasture quality, environmental variability, and restricted resources. Pasture improvement, achieved through management practices and particularly through fertilization, may enhance productivity and sustainability in high-Andean livestock systems. This study aimed to characterize mixed herds composed of domestic sheep (Ovis aries), alpacas (Vicugna pacos), llamas (Lama glama), and domestic cattle (Bos taurus) and to evaluate the role of pasture fertilization on herd composition and livestock size. Primary data were collected through structured questionnaires administered to 88 randomly selected livestock producers, complemented by direct field observations of grazing areas, corrals, shelters, and water sources. The survey documented herd structure, grazing management, pasture conservation, fertilization practices, and farm infrastructure. Data from multiple farms were analyzed using a clustering approach to group production units with similar characteristics, and statistical models were applied to assess the effects of fertilization, pasture area, and water sources. Three distinct clusters were identified: one dominated by alpacas, another by sheep, and a third by llamas with the most uniform stocking density. Pasture fertilization was most common in the sheep-dominated cluster and was significantly associated with higher sheep numbers, while no significant effects were detected for alpacas, llamas, or cattle. Farms without fertilization showed slightly higher overall livestock size; however, a strong negative interaction between pasture area and lack of fertilization indicated that expanding grazing land alone could not offset low forage quality. These findings suggest that targeted fertilization, when combined with sustainable grazing practices, may contribute to improved herd performance and long-term resilience in heterogeneous Andean livestock systems. Full article

Morocco ranked 9th in the 2024 Climate Change Performance Index (CCPI), placing it among the world’s top 10 performers in climate action. Building on this leadership, our review outlines practical and real-world steps to strengthen Morocco’s agricultural efforts to curb greenhouse gases. We base our analysis on a comparison of national communications, updated Nationally Determined Contributions (NDCs), and findings from peer-reviewed research. We identified four main areas where Morocco can boost its impact: advanced livestock methane reduction, systematic soil carbon monitoring, precision nitrogen management, and integrated renewable energy systems. To inform these levers, we studied best practices from other six high-performing countries in the 2024 CCPI—Denmark, Sweden, India, Estonia, the Netherlands, and the Philippines—and considered how their strategies could be adapted to Morocco’s semi-arid, smallholder-dominated farming context. This study delivers four concrete, multi-phase implementation roadmaps spanning 2025–2035. These roadmaps outline the technical steps, regulatory changes, and financial mechanisms. They also specified emissions reduction targets associated with each pillar: 15–30% for livestock methane, 0.3–0.8 tons of carbon per hectare per year for soil carbon sequestration, 18% for precision nitrogen management, and fossil fuel displacement through five renewable energy initiatives. The roadmaps are designed to inform the next update of Morocco’s Generation Green strategy and support the country’s 2030 NDC goal of a 45.5% emission reduction. Full article

This study employs a mixed-method approach, including surveys with 498 smallholder farmers as respondents (186 in Mozambique and 312 in Zambia) and focus group discussions, to compare sustainable soil management and livestock feed management practices. This study shows critical gaps in agricultural extension, significant differences were found, with a higher proportion of Zambian farmers receiving training on soil fertility management (42.2% versus 3.2% in Mozambique, p < 0.001) and using locally produced feeds (78.5% versus 1.6%, p < 0.001). Whereas access to weather information was higher in Mozambique (50.5%) than in Zambia (22.8%). The findings show critical gaps in agricultural extension in Mozambique and Zambia in areas under cowpea, oilseed crops, and vegetables (t = 8.375, p < 0.001; t = 4.138, p < 0.001; and t = 3.104, p < 0.002, respectively). We recommend targeted investment in farmer training programs, including feed formulation and context-specific weather information dissemination to enhance climate resilience and food security. Full article

Rural revitalization constitutes a vital strategic initiative in advancing China’s socialist modernization. At the 2023 Central Economic Work Conference, the objective of building China into a financial powerhouse was formally articulated, thereby establishing higher benchmarks for financial support of rural revitalization. A critical question arising from this agenda is how to simultaneously advance agricultural technological innovation while effectively implementing green development principles. Accordingly, it is essential to investigate the role of the integrated development of sci-tech finance and green finance in promoting rural revitalization. Against this backdrop, this study employs provincial-level panel data from China spanning the period from 2011 to 2021. A two-way fixed effects model is adopted to examine the impact of the integrated development of sci-tech finance and green finance on rural revitalization. The analysis identifies three primary transmission mechanisms: financial supply, green agricultural development, and linkages between smallholder farmers and modern agriculture. Furthermore, the study explores heterogeneity across different financial environments from two dimensions: the level of digital inclusive finance development and the intensity of financial regulation. The empirical results indicate that (1) the integrated development of sci-tech finance and green finance significantly promotes rural revitalization, exhibiting a nonlinear effect whereby its catalytic impact intensifies markedly once the coupling coordination between the two surpasses a critical threshold; (2) such integration alleviates rural financing constraints, enhances agricultural green total factor productivity, and facilitates rural revitalization through the establishment of green agricultural cooperatives; and (3) the enhanced impact of this holistic progress is particularly noticeable in areas with advanced digital financial inclusion and robust financial oversight. In light of these results, this research puts forth three policy suggestions. First, institutional and policy preparations for integrating green finance and sci-tech finance should be accelerated through coordinated government policies, financial product innovation, and financial market reforms. Second, the channels through which sci-tech finance and green finance support rural revitalization should be strengthened by expanding agricultural credit, improving the coverage of rural financial institutions, and fostering specialized green agricultural cooperatives. Third, the financial ecosystem should be optimized by prioritizing investment in digital infrastructure and reinforcing financial supervision throughout the development of digital inclusive finance, particularly in rural regions. Full article

Postharvest technologies and supply chain management are critical to improving food security, reducing losses, and advancing sustainability in global agri-food systems. Nearly one-third of global food is lost after harvest, particularly in developing regions, underscoring the urgent need for efficient postharvest handling, cold chain integration, and sustainable logistics systems. This paper explores key components of effective postharvest systems, including harvesting, treatments, storage, and value-added processing. It highlights digital innovations IoT sensors, blockchain, AI, and digital twins that enhance traceability, forecasting, and operational efficiency. Case studies from South Asia, Africa, Europe, and North America emphasize region-specific solutions, highlighting low-cost technologies for smallholders and advanced systems for export chains. Sustainable practices such as renewable-powered cold chains, circular economy models, and eco-friendly packaging align with Sustainable Development Goals (SDGs) on zero hunger, responsible consumption, and climate action. This paper concludes that while technology is vital, systemic transformation requires inclusive policies and collaboration among governments, private sectors, researchers, and farming communities to build resilient, equitable food systems. Full article

Agriculture provides food and nutrition security essential for improving livelihoods. However, the region has been experiencing extreme weather events, which cause challenges ranging from reduced agricultural production to threatening food insecurity and lower income. The study aims to evaluate the susceptibility of smallholder farmers to climate change and identify key sustainable agricultural interventions through a systematic review and bibliometric analysis. The Scopus database retrieved the literature on sustainable agriculture following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Publication trends, co-occurrence of citations, and thematic evolution were analysed. The findings show that conservation agriculture and climate-smart agriculture and their role in improving climate resilience among smallholder farmers were the commonly studied interventions. The adoption of these interventions by farmers can positively aid in attaining the Sustainable Development Goals and the Agenda 2063 Goals. This will help mitigate climate change effects while improving agricultural production, fostering entrepreneurship, and enhancing nutrition and livelihoods in South Africa. The findings from the study can inform policymakers in designing localised, scalable, and evidence-based solutions to improve smallholder farmers’ level of resilience. Institutional and governmental support for smallholder farmers in implementing sustainable interventions is important. Full article

To promote a sustainable coffee industry, Davao Oriental has branded its coffee in association with Mt. Hamiguitan. This study profiles the production capacities and agricultural practices of smallholder coffee farmers along the Mt. Hamiguitan buffer zone, focusing on women’s roles and farmers’ climate change awareness and adaptation strategies. Fifty-seven purposively selected farmers (28 females, 29 males) were interviewed using a validated semi-structured questionnaire. Data were analyzed using thematic analysis and descriptive statistics. Most farmers (70%) were old (≥51) with over 40 years of experience (51%). Non-participation in farmers’ associations (73.7%) surpassed active membership (26.3%), with only 14% attending training. Most farmers (65%) intercropped 500–600 Robusta coffee trees/ha, with many farms established in the 1980s (36%). The farmers performed clearing (82%) and pruning (94%) of their coffee. Women played a vital role, especially during drying and harvesting. All respondents acknowledged climate change and employed practices such as intercropping, pruning, using ipil-ipil for shade, and utilizing nets, which, though originally aimed at improving crop resilience, can also serve as adaptations to mitigate the impacts of climate change. Recommendations for fostering sustainable practices while improving livelihoods include joining cooperatives, providing training for enhanced climate change adaptation strategies, and increasing women’s participation in coffee production. Full article

Small Island Developing States (SIDS) face ongoing challenges in balancing agricultural sustainability with economic growth due to limited land resources, rapid urbanisation, climate change, and reliance on food imports. This study explores the evolution of land use and the future of agriculture in Mauritius from 2002 to 2022, using satellite imagery, policy reviews, and stakeholder interviews. Findings show a 9% decrease in agricultural and non-agricultural vegetation cover, alongside a doubling of built-up areas from 10% to 20%, indicating continued land conversion pressures. The analysis highlights major barriers to agricultural sustainability, including declining food self-sufficiency, an ageing farming population, and slow movements towards sustainable practices caused by low profitability and weak institutional support. Diverging priorities among government agencies, sugar companies, smallholder farmers, and NGOs further hinder coordinated policy efforts. To address these challenges, the study identifies strategies for aligning economic and environmental goals through integrated land-use planning, boosting productivity, and providing targeted support for sustainable ecological farming systems. Policy recommendations include protecting agricultural land, encouraging agroecological practices, alleviating labour shortages, and promoting multi-stakeholder engagement within policy development. Overall, this research enhances understanding of land-use dynamics and agricultural resilience in SIDS, offering practical insights for policymakers and practitioners working towards sustainable food systems amid spatial and climatic constraints. Full article

Unmanned aerial vehicle (UAV)-based spraying is transforming precision agriculture by enabling targeted, uniform agrochemical application. This study evaluates four nozzle types across three flight heights for rice crop canopy, analyzing spray metrics including canopy coverage (CA%), droplet density (DD), volume median diameter (VMD), and swath width (SW). Statistical analysis identified nozzle N-1 at 3 m and N-3 at 2.5 m as optimal configurations, maximizing coverage and droplet uniformity. Results support evidence-based nozzle–height selection to enhance spraying efficiency and reduce environmental impact. The findings promote sustainable UAV spraying strategies, especially for smallholder rice farmers in Northern India. Full article