Search Results (105)

Climate change poses escalating risks to small-scale farmers’ food security across Sub-Saharan Africa (SSA), yet evidence on how adaptation strategies transform into food security outcomes remains fragmented and unevenly distributed. This study systematically reviewed 66 peer-reviewed studies retrieved from various databases including Sabinet African Journals, Web of Science and PubAg. The peer-reviewed studies were obtained through following PRISMA guidelines which involve searching criteria (using key words) and screening criteria (applying filters). The aim of this study was to synthesise climate-related challenges, adaptation strategies and policy gaps affecting small-scale farming systems in SSA. Empirical findings indicate that prolonged droughts, rainfall variability and temperature stress dominate climate-related challenges. Small-scale farmers’ adaptation responses cluster around technological and on-farm practices, integrated climate-smart agriculture, livelihood diversification, crop- and livestock-based strategies and knowledge-based interventions. As a result most strategies positively influence the availability, stability and access pillars of food security. However, adaptation effectiveness is strongly constrained by systemic policy gaps, notably weak extension and institutional support, limited access to finance and inputs, affordability and scalability barriers to CSA technologies. These constraints disproportionately affect resource-poor farmers, reinforcing inequalities and limiting the scalability of successful local adaptation. Therefore, strengthening institutional capacity, aligning policies with farmer realities, integrating local knowledge and gender considerations and expanding financial access emerge as central priorities for transforming adaptation efforts into sustained and equitable food security outcomes across SSA. Full article

Although climate-smart agricultural practices are increasingly promoted, comparative environmental and economic assessments across multiple practices and crops remain limited. This study evaluates five climate-smart agricultural practices in Dutch potato and onion production, including soil management, biodiversity enhancement, sustainable irrigation systems, crop protection, and green energy use. It compares them with conventional production systems using integrated Life Cycle Assessment and Life Cycle Costing. Specifically, Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) methodologies were applied to assess the environmental and economic sustainability of the studied systems, respectively. Among the evaluated practices, soil management exhibited the best overall environmental performance for both crops, achieving reductions of up to 42% and 66% in greenhouse gas emissions for potatoes and onions, respectively, compared with the baseline under the modelled conditions. Biodiversity measures significantly reduced freshwater eutrophication and ecotoxicity-related impacts, particularly in potato cultivation, while crop protection practices mainly improved pesticide-related toxicity categories. Similarly, soil management and biodiversity demonstrated the best economic performance, with profits increasing to approximately €3318/ha and €3121/ha for potatoes and €3898/ha and €3694/ha for onions, respectively, compared with baseline profits of €2879/ha and €3526/ha. The results suggest that the implementation of CSA practices can improve both the environmental and economic sustainability of intensive vegetable production systems under the modelled Dutch conditions, although the effectiveness of each practice depends strongly on crop-specific environmental hotspots and management assumptions. The findings provide evidence to support farmers and policymakers in selecting cost-effective climate-smart practices while identifying priorities for future field validation and uncertainty assessment. Full article

Farmer Producer Organizations (FPOs) have gained increasing attention as institutional mechanisms for improving the resilience of smallholder farming systems under changing climatic conditions. This study examines the role of FPOs in promoting the adoption of Climate-Smart Agriculture (CSA) practices, improved irrigation strategies, and sustainable land management in the arid region of Pali district, Rajasthan, India. A comparative assessment was conducted between FPO-associated member and non-member farmers to evaluate differences in climate change perception, adoption behaviour, and adaptive capacity. The study employed a mixed-methods research design using primary data collected from 408 farm households through structured interviews, focus group discussions, and key informant consultations. Descriptive statistics, mean comparison tests and regression analysis were used to examine adoption patterns and identify the major factors influencing farmers’ responses to climate risks. The findings indicate that delayed rainfall, rising temperatures, and increasing drought frequency are widely perceived by farmers as major threats to agricultural production. FPO membership was associated with higher levels of climate-risk awareness and greater reported adoption of CSA practices; however, these findings should be interpreted as associations rather than causal effects. Farmers linked with FPOs reported stronger uptake of improved and stress-tolerant crop varieties, crop diversification, mixed farming systems, agroforestry, soil moisture conservation, rainwater harvesting, improved irrigation methods, and integrated pest management practices. Education, farm size, access to extension services, market linkages, and climate information were also found to significantly influence adoption decisions. The study highlights the important contribution of FPOs in reducing transaction costs, improving access to inputs, technical knowledge, credit and markets, and encouraging collective responses to climate stress. Strengthening FPO governance, expanding extension support, and targeting vulnerable farmer groups can substantially enhance climate resilience and support sustainable agricultural transitions in arid regions. The findings demonstrate that farmer organizations can serve as effective intermediary institutions linking household-level adaptation strategies with broader goals of irrigation efficiency, land management, and rural sustainability. Full article

Unmanned aerial vehicle (UAV)-based remote sensing combined with artificial intelligence (AI) has emerged as a key enabler of climate-smart agriculture (CSA). However, the extent to which these technologies operationalize CSA’s three pillars, productivity, adaptation, and mitigation, remains unevenly assessed. This study presents a PRISMA-guided systematic review of 59 peer-reviewed studies examining UAV–AI applications in agricultural systems. The synthesis categorizes platform configurations, sensor modalities, analytical architectures, geographic distribution, and data integration strategies, and evaluates their alignment with CSA objectives. Results indicate that productivity-oriented applications, including yield estimation, biomass mapping, and nutrient assessment, are the most mature, while adaptation-focused stress detection is also well established. In contrast, mitigation-oriented applications, such as carbon quantification and greenhouse gas monitoring, remain comparatively underrepresented. The analysis further reveals a growing convergence toward multimodal sensing and cross-scale data integration linking UAV observations with satellite and environmental datasets. However, substantial variability in validation approaches and dataset representativeness limits generalizability and scalability. Advancing UAV–AI contributions to CSA therefore requires methodological standardization, interoperable data governance, and strengthened institutional capacity. Collectively, the findings position UAV–AI systems as emerging components of climate-smart agricultural intelligence infrastructure rather than isolated monitoring tools. Full article

Climate change continues to threaten global food security. Climate-smart agriculture (CSA) offers a solution to addressing this challenge in urban agriculture (UA). This paper addresses a gap in the empirical literature on decision-making about the adoption of CSA practices by examining the determinants of CSA adoption among small-scale urban crop (SSUC) farmers in eThekwini (ETH) Municipality, South Africa. Grounded in a utility theory framework, the paper draws on 412 respondents (Cochran-estimated) from a multi-stage sample design across four wards, providing reasonable coverage of SSUC farmers in ETH Municipality. While the sample size is statistically representative of SSUC farmers in ETH Municipality, it is a single metropolitan case rather than universal. The results show strong complementarities among these CSA practices, for example, between OM and CD (r ≈ 0.70, p < 0.001) and M and CD (r ≈ 0.61, p < 0.001). The multivariate probit (MVP) model predicts that the socio-economic and institutional factors age, gender, marital and employment status, education, credit access, extension contact, land tenure, and location (distance from home to farm plots) (p < 0.05) were significant determinants of adopting CSA practices by SSUC farmers. The findings contribute to the global literature on the UA–CSA nexus, demonstrating that socio-economic and institutional factors shape the adoption of bundled CSA practices. While the findings underscore the need for integrated, custom, and UA context-specific policy and extension interventions to strengthen urban food system resilience, UA farmers, practitioners, researchers, and policymakers should apply these insights elsewhere with caution. Full article

The agrifood sector faces well-documented barriers to climate-smart agriculture (CSA) adoption, reflecting systematic difficulty identifying where digital tools address specific stakeholder needs rather than a technology shortage. This paper presents a prescriptive framework for mapping digital innovation opportunities in complex, multi-stakeholder agrifood systems. Grounded in Jobs-to-be-Done (JTBD) theory and structured as a two-dimensional matrix of meta-jobs and value chain segments, the framework was developed through a design science research (DSR) paradigm evaluated on utility, coherence, and actionability. Construction involved a purposive synthesis of three literature streams and iterative refinement through 136 stakeholder engagements within a six-month university-affiliated startup studio cycle. Applied to climate-smart agriculture, the framework produces 54 strategic opportunity areas across nine meta-jobs and six value chain segments. A cross-cutting pattern analysis identifies three structural constraints: agricultural data fragmentation and absence of interoperability standards; inadequate measurement, reporting, and verification infrastructure; and misalignment between financing mechanisms and climate-smart time horizons. The framework equips entrepreneurs and investors with a segment-differentiated opportunity map, supports agribusiness portfolio analysis, and directs policymakers toward three priority areas where coordinated systemic action generates value across the opportunity landscape. Full article

The main scope of the present study is to assess the environmental and economic outcomes of applying distinct Climate-Smart Agricultural (CSA) practices in apple cultivation. Thus, four different CSA practices, including organic farming, cover crops, floral bands, and grazing, were selected, and their environmental and economic performance was evaluated and compared to that of a conventional apple orchard system (baseline). Specifically, Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) methodologies were applied to assess the environmental and economic sustainability of the studied systems, respectively. Among the studied practices, grazing exhibited the best environmental performance among the modeled scenarios (approximately 25% decrease in greenhouse gas emissions compared to the baseline under the assumed conditions), followed by organic farming that significantly decreased eutrophication- and ecotoxicity-related impacts. Similarly, organic farming and grazing exhibited the best economic performance in the concept of the present study, with the total profit per hectare rising to approximately 5300 € and 4300 €, respectively, compared to the value of 3700 € of the conventional apple orchard. The results suggest that the implementation of CSA practices has the potential to improve the environmental and economic performance of apple orchards under the modeled conditions. Full article

Decades of traditional fertilizer subsidies have yielded modest maize productivity gains for Malawian farmers, mainly due to the twin challenges of soil degradation and intermittent weather patterns. Increasing nitrogen intake through subsidies without addressing these structural constraints has failed to close the country’s yield gap. Although climate-smart agriculture (CSA) technologies offer options for sustainable productivity growth, low and inconsistent adoption among farmers has led to insufficient evidence. Most existing studies that have examined the complementarity between CSA and inorganic fertilizers rely on experimental plot data, with limited evidence from actual farmer-managed fields. We use farm-level data collected in 2022 from 307 smallholder farmers across central and southern Malawi to investigate whether integrating CSA technologies with subsidized inorganic fertilizers enhances maize productivity. We apply the Inverse Probability Weighted Regression Adjustment (IPWRA) model to estimate the effects of CSA adoption and its integration with subsidized fertilizer. Results indicate that CSA adoption increased maize yields by 30%, confirming significant productivity gains from technologies such as mulching, agroforestry, and organic manure. However, integrating these technologies with subsidized fertilizers produced no additional yield advantage, suggesting that farmers often substitute CSA with inorganic inputs rather than combining them effectively. These findings imply that the potential synergies between CSA and subsidy programs remain unrealized under current practices. Policy reforms under Malawi’s current farm input subsidy program (FISP) should therefore emphasize extension and incentive mechanisms that promote complementary—not substitutive—use of CSA technologies and fertilizers at recommended application rates. Full article

The agricultural sector faces increasing vulnerability to climate change, necessitating effective adaptation measures to maintain productivity and enhance system resilience. Despite this critical need, limited studies explore the factors influencing farmers’ adaptive responses within specific climatic zones. This study aimed to identify adaptation measures essential for agricultural sustainability in the three purposively selected Grama Niladari divisions (GNDs) known for their diverse crop varieties in the Maho Agrarian Zone, a region characterised by the Maha (Northeast Monsoon) and Yala (Southwest Monsoon) agricultural seasons. A mixed-methods descriptive research design, integrating quantitative surveys and qualitative focus group data, was employed. The findings reveal a highly experienced farming community: 34.9% of farmers have over 30 years of farming experience. A total of 96.7% of farmers reported noticing changes, including a shift in seasons (over 80%) and unpredictable rainfall patterns (53%). A vast majority (62.8%) of farmers lack access to agricultural insurance, leaving them financially exposed to crop losses. Furthermore, while younger and middle-aged groups demonstrated the highest awareness of climate-smart agriculture (CSA), there is a strong, consistent perception across all age groups that government and associated institutions are not providing sufficient support for adaptation efforts. The results offer actionable recommendations for empowering local planning authorities, optimising climate communication strategies, and prioritising the development of practical CSA training modules, ultimately synthesising local knowledge with expert insight to support global resilience-building initiatives. Full article

This study evaluated the performance of a smart farming technology (SFT) and a climate-smart agriculture (CSA) approach for improving irrigation management in pecan (Carya illinoinensis) orchards in México through soil moisture monitoring, evapotranspiration estimation, and real-time data integration. Continuous monitoring allowed irrigation to be maintained at field capacity, preventing plant stress while avoiding total soil saturation or permanent wilting point. Calibration of soil moisture sensors showed a very strong correlation (R² = 0.99) between sensor reverse voltage and volumetric soil water content in predominant sandy loam soils, confirming the reliability of the monitoring system for irrigation scheduling. Seasonal analysis of reference evapotranspiration (ETo) and crop evapotranspiration (ETc) revealed increasing atmospheric water demand during summer months, with crop coefficient (Kc) values ranging from approximately 0.3 during dormancy to 1.0–1.3 during peak vegetative growth. After five years of field implementation of the technology, results showed water savings exceeding 50% compared with traditional flood irrigation practices. The optimized irrigation schedule reduced total seasonal irrigation depth from 216 cm to 128 cm, representing a 59% reduction in applied water while maintaining adequate soil moisture conditions for crop development at field capacity (FC). These results highlight the potential of integrating sensor-based monitoring, evapotranspiration modeling, and IoT platforms to enhance water-use efficiency and support sustainable pecan production under increasing climate variability. Full article

Conventional agricultural production systems are increasingly challenged to balance environmental sustainability with economic performance, highlighting the need to systematically evaluate climate-smart agricultural practices as viable alternatives. The primary objective of the present work is to assess the environmental and economic benefits of implementing different Climate Smart Agricultural (CSA) practices in the agricultural sector. For this purpose, four different CSA practices, including intercropping, renewable energy, variable rate fertilizer and no-tillage system, were studied in wheat cultivation in Lithuania. Subsequently, their environmental and economic performance was compared to a conventional wheat producing farm. For the environmental performance, Life Cycle Assessment (LCA) analysis was performed following the respective ISO recommendations. Based on the results, the incorporation of CSA practices in the agricultural sector can lead not only to substantial improvements in environmental performance but also to notable economic benefits, depending on the selected practice. Regarding their environmental performance, the most prominent studied CSA was renewable energy that minimizes greenhouse gas emissions, followed by variable rate fertilization. The economic analysis showed intercropping to be the most profitable option, with the total profit being 792 €/ha, while no-tillage also showed competitive results, with subsidies in each studied system playing a major role in the economic performance. Conversely, variable rate fertilization and renewable energy integration highlighted trade-offs between environmental advantages and short-term economic feasibility. Overall, the adoption of CSA practices represents a promising pathway toward more sustainable and resilient agri-food systems. Full article

From adaptation to building effective resilience to climate change is critical for transforming West and Central Africa (WCA) agricultural system. Climate-Smart Agriculture (CSA) is an approach initiated by leading international organizations to ensure food security, increased adaptation to climate change and mitigation. Its application spans from innovative policies, practices, technologies, innovations and financing. However, CSA initiatives lack scientific-based assessment prior to implementation to ensure their effectiveness. To fill this gap, future interventions should not only be assessed using rigorous methodology but should also be built on lessons learned from previous initiatives. Although there are a lot of climate related agricultural initiatives in WCA, most of them have not been analyzed through a CSA lens and criteria to capitalize on their experiences to improve future interventions. In this study we mapped previous climate-related initiatives in WCA, highlighted their gaps and lessons learned to accelerate the implementation of CSA in the region. The study covered 20 countries in WCA: Benin, Burkina Faso, Cameroon, Cape Verde, Central African Republic, Chad, Côte d’Ivoire, Congo, Gabon, Gambia, Ghana, Guinea, Liberia, Mali, Mauritania, Niger, Nigeria, Senegal, Sierra Leone, Togo. CSA initiatives were reviewed using a three-steps methodology: (i) national data collection, (ii) regional validation of the national database, (iii) data analysis including spatial mapping. Data was collected from the websites of international, regional and national organizations working in the field of agricultural development in the region. Each initiative was analyzed using a multicriteria analysis based on CSA principles. A total of 1629 CSA related initiatives were identified in WCA. Over 75% of them were in the form of projects/programs with more of a focus on the first CSA pillar (productivity and food security), followed by adaptation. The mitigation pillar is less covered by the initiatives. Animal production, fisheries, access to markets, and energy are poorly included. More than half of these initiatives have already been completed, calling for more new initiatives in the region. Women benefit very little from the implementation of the identified CSA initiatives, despite the substantial role they play in agriculture. CSA initiatives mainly received funding from technical and financial partners and development partners (45%), banks (22%), and international climate financing mechanisms (20%). Most of them were implemented by government institutions (48%) and development partners (23%). In total, more than 600 billion EUR have been disbursed to implement 83 of the 1629 initiatives identified. These initiatives contributed to reclaiming and/or rehabilitating almost 2 million ha of agricultural land in all countries between 2015 and 2025. Future initiatives should ensure the consideration of the three CSA pillars right from their formulation to the implementation. These initiatives should consider investing in mixed production systems like crop-animal-fisheries. Activities should be built around CSA innovation platforms to encourage networking among actors for more sustainability. Full article

The climate-smart agriculture (CSA) approach, a sustainable alternative to conventional practices in agriculture, supports three main pillars: increasing productivity, resilience, and greenhouse gas (GHG) mitigation through the adoption of climate-smart practices (CSPs). Effective CSA assessment tools are needed to evaluate the impact of and support the broader adoption of CSPs. This study addresses this need by developing the RAPTURE (Resilient Agricultural Practices for Transforming Uncertain and Resource-Scarce Environments) tool. The RAPTURE tool was developed through five steps, which included collecting data on CSA definitions, existing practices and classifications, climatic conditions of the study areas, and the mathematical equations used to assess CSPs—all of which were stored in databases. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was adopted to guide the selection and inclusion of 222 studies from the Web of Science database, forming the basis for the development of the RAPTURE tool. The first step of RAPTURE synthesizes simple and complex definitions of CSA from the database of 35 definitions. For the second and third steps, an updated classification of the CSPs was developed using a database with 78 CSPs, and a weather conditions database created from areas where CSPs have been studied and implemented was also provided, respectively. The fourth step of the RAPTURE tool includes a database containing the input and output variables necessary for the assessment of CSPs’ impacts, which is essential for the selection of an assessment method. The fifth and last step of the tool contains the assessment methods available, including 24 mathematical methods documented and synthesized. An application of RAPTURE using agricultural data from Florida in 2022 and 2023, and considering an increase of 20% with the implementation of CSPs, showed better productivity and rain-use efficiency. While previous studies have shown that adopting CSPs in agriculture provides several benefits, such as better agricultural production, higher carbon sequestration, the application of the RAPTURE tool in assessing CSPs also demonstrates their ability to increase productivity and resource-use efficiency. Full article

Climate change threatens global food security, highlighting the necessity for Climate-Smart Agriculture (CSA) to enhance agricultural resilience and sustainability. Yet low adoption among farmers highlights gaps in understanding adoption barriers. Existing models often overlook the dynamic, multi-layered nature of farmers’ decisions. This study introduces the Multidimensional Dynamic Decision Analysis Framework (MDDAF), which integrates Sustainable Livelihoods Framework, Diffusion of Innovations, and Behavioral Economics, and applies it to conservation agriculture in Northeast China’s black soil region. We conducted 125 semi-structured interviews (100 farmers, stage-mapped into six groups; 20 leaders of agricultural socialized service organizations; 5 technical experts) and analyzed transcripts in NVivo using a hybrid deductive–inductive approach. Findings show stage-specific barriers: superficial knowledge and fragmented perceptions in awareness; traditional norms and social stigmatization in evaluation; biosecurity risks, ecological mismatches, and land tenure disputes during decision-making; economic constraints and policy inconsistencies during implementation; and operational failures, incomplete practices, and climate-driven volatility at confirmation. Priority implications are as follows: professionalize service provision; safeguard bundle fidelity and manage climate risk; reduce context and tenure risks; and counter misbeliefs via complement-focused demonstrations, diverse opinion leaders, and targeted training. MDDAF thus links dynamic, stage-specific barriers to actionable interventions, supporting more effective CSA scale-up. Full article

Pastoral livelihoods in Sub-Saharan Africa are under an increasing threat from climate change with arid and semi-arid lands (ASALs) being especially vulnerable. Climate-smart agriculture (CSA) is widely promoted as a strategy for enhancing resilience among smallholder livestock farmers by improving productivity, increasing farmers’ incomes and strengthening adaptive capacity. However, CSA adoption rates among pastoralists remains low. While existing studies emphasise socio-economic and institutional factors, this study explores the often-overlooked behavioural dimensions, attitudes, beliefs, and perceptions, which critically influence adaptation decisions. Guided by the theory of planned behaviour (TPB), this study investigates the behavioural drivers of CSA adoption among 737 livestock farmers in Kenya’s ASALs. Using ordered probit regression and structural equation modelling–confirmatory factor analysis (SEM-CFA), the results reveal that attitudes and perceived behavioural control are significant predictors of farmer intention to adopt CSA practices, with perceived behavioural control being the most influential predictor. Farmers with a positive attitude and confidence in their ability to implement CSA practices are more likely to adopt them. The study findings suggest that efforts to promote CSA adoption should prioritise transforming attitudes and building practical confidence by increasing exposure to demonstration farms and implementing awareness-raising initiatives within pastoral communities. Full article