Climate-smart Agriculture Research Articles

U.S. climate-smart agricultural and forestry incentives: from offsets to clean energy credits

Abstract Climate-smart agricultural and forestry (CSAF) practices prevent greenhouse gas emissions from occurring or increase carbon sequestration. I examine how the development of U.S. CSAF incentives shifted from offset markets to biofuel regulations over time. My perspective is informed by two professional roles I had in developing these standards. First, as an economist at the Chicago Climate Exchange, I developed CSAF offset protocols between 2007 and 2010. Second, between 2022 and 2024, I was an economist at the U.S. Department of Agriculture (USDA) when USDA developed a climate-smart agriculture pilot protocol for the sustainable aviation fuel blender’s tax credit. Twenty years ago, there were no U.S. biofuel mandates and CSAF incentives were conceptualized as occurring through offset markets. I explain how, in contrast to cap-and-trade programs, greenhouse gas emissions from agricultural and forestry practices are already included in the baseline of biofuel regulations. This implies that additionality issues, which have impeded the development of CSAF offset standards, are not as applicable to biofuel programs. Specifically, I examine the development of agricultural soil carbon, livestock digester, and forest carbon protocols as case studies. I conclude by discussing how CSAF crediting may evolve in the future.

Exploring the Motives Behind the Adoption of Climate Change Adaptation Strategies among Farmers in the Czech Republic

AbstractClimate change threatens agriculture in the EU and is a primary issue discussed in the European Green Deal within the Common Agricultural Policy. Central and Eastern European countries are particularly prone to climate change effects, such as droughts and extreme weather. Therefore, agriculture in Central and Eastern Europe is expected to be increasingly affected by shifting climatic patterns. This study examines the motivation for adopting adaptation strategies derived from climate-smart agriculture among farmers in the Czech Republic. We drew particular attention to analyzing the influence of farm-level and information source variables on the adaptation behavior of Czech farmers. The dataset comprises 358 respondents who were asked about climate change adaptation through a quantitative survey. We analyzed the collected data via descriptive statistics and binary logit regression models. The analysis results reveal a high degree of awareness and a diversified usage of climate change adaptation strategies among the respondents. The close linkage between perceived profitability and the willingness to adapt to climate change requires policymakers to communicate economic benefits within this context further. Information sources, such as topic-specific journals, research institutions, and field training, positively influenced the adaptation rates among the sample. Therefore, we recommend focusing on these media channels to communicate targets set within the European Green Deal.

Climate Smart Agriculture: Innovating Sustainable Practices for a Changing Climate

Climate Smart Agriculture (CSA) is a strategy aimed at lowering greenhouse gas emissions, strengthen climate change resilience, raising crop production and incomes significantly. In a variety of agro-ecological zones, the implementation of climate smart agriculture methods has significantly improved the availability of food, adaptability to fluctuations in the climate, and emissions reduction. One of the key benefits of CSA is its ability to improve agricultural productivity and stabilize food security, particularly for small-scale farmers in developing nations who are most vulnerable to climate change. By integrating sustainable techniques such as conservation agriculture, crop diversification, and agroforestry, CSA helps ensure stable yields, even amid erratic weather patterns. Enhanced soil fertility, enhanced irrigation practices and the use of varieties of crops that are climate resilient all contribute to sustained productivity, mitigating the risks of crop failure and food shortages. CSA also strengthens agricultural systems' resilience to climate impacts by promoting practices like zero tillage, residue management, and efficient irrigation, which improve soil health and water retention, making crops more resistant to droughts and floods. In addition to boosting resilience, CSA contributes to climate change mitigation by reducing agriculture's carbon footprint. Precision farming, organic agriculture, and other low-emission practices help curb greenhouse gas emissions from farming activities. Mobile technology is also emerging as a key driver of CSA by providing real-time information, decision-making support, and access to essential resources, further enhancing the adaptability and sustainability of farming systems. The significance of CSA as a strategic solution to the threats that climate change poses to food security and agricultural sustainability is being more widely acknowledged by governments. As a result, numerous initiatives have been launched at national, regional, and international levels to encourage the widespread adoption of CSA practices. In order to achieve sustainable agricultural development and ensure food security in the face of climate change, CSA must be scaled up around the world.

Understanding the Food and Nutrition Insecurity Drivers in Some Emergency-Affected Countries in the Eastern Mediterranean Region from 2020 to 2024

This research seeks to enhance the understanding of the multifaceted drivers of food and nutrition insecurity in emergency-affected countries within the Eastern Mediterranean region and investigate the dynamics of food and nutrition security in countries facing emerging emergencies. This is a descriptive aim to determine the key factors and challenges affecting food security and nutrition status in ten countries in the Eastern Mediterranean region (Afghanistan, Djibouti, Iraq, Lebanon, Pakistan, Palestine (Gaza Strip), Somalia, Sudan, Syria, and Yemen). The research reveals that all selected countries experienced severe levels of food insecurity, with many reaching Phase 3 or above according to the IPC classification. In 2020, Afghanistan and Yemen were particularly hard-hit, with food insecurity affecting 42% and 45% of their populations; in 2024 in Gaza and Sudan, the same figures were 93% and 54% of the population, respectively, representing worse food insecurity crises in the region. Somalia, Sudan, and Djibouti also faced significant food insecurity rates. Many key drivers of food security are standard in most countries, and the linkage between food insecurity and malnutrition levels has a similar trend in almost all countries. However, none of the countries achieved all the 2025 global nutrition targets, while some reached one or two targets. Reaching sustainable development goals is still challenging in these countries since nutrition and food security levels, included in many goals, have not yet been reached. Food security and malnutrition in emergency-affected countries are driven by conflict, political instability, natural disasters, and socioeconomic conditions, which disrupt agricultural activities and infrastructure, exacerbating these challenges. To address these issues, we recommend a multisectoral approach, conflict resolution, climate-smart agriculture, integration of emergency responses with long-term strategies, and strengthening health and nutrition information systems.

How could payments for U.S. climate-smart farming practices change the regional adoption of conservation practices?

Abstract Recent U.S. policies have promoted climate-smart farming practices. However, little is known about the costs of practice adoption or the regional allocation of support. The primary objective of this study is to identify cost-effective agricultural practices for climate mitigation and determine where practices might be targeted regionally. This study uses marginal abatement cost curves for six mitigation practices to analyze how conservation funding could incentivize adoption. Using a social benefit threshold of $51 per metric ton, we estimate that a combined total (across each of the practices) of 90 million tons of greenhouse gas emissions could be cost-effectively mitigated or sequestered annually. For the purposes of conservation targeting, we outline the regions where the adoption of these practices is potentially the most cost-effective.

ASSESSMENT OF SMALL HOLDERS FARMERS' ADOPTION OF CLIMATE-SMART AGRICULTURE PRACTICES IN BORNO STATE, NIGERIA

The study assessed smallholder farmers’ adoption of Climate-Smart Agriculture practices in Borno State, Nigeria. Identified socio-economic characteristics of the respondents, assessed the respondents’ adoption of climate-smart agriculture practices and investigated the constraint by respondents in adopting climate-smart agriculture practices. Both primary and secondary sources were used. Multi-stage sampling procedure was employed to select 200 respondents as the sample size. Descriptive statistics such as frequency, percentages, mean, standard deviation and likert type scale were used. The findings indicated that, majority (67.5%) of the respondents were within the prime working age of 20-49 years with a mean age of 43 years. Majority (75.5%) were male, 63.5% married with 43.0% had 7-9 persons per household. However, more than half (56%) of the respondents had no formal education, and 56% earn less than 50,000 Naira annually. The study also found that 58% had more than 10 years of farming experience, but only 30% were members of association. Conservation agriculture practices such as reduced tillage, crop residue management, and crop rotation/intercropping were rated 1st with the highest (x = 4.29) implying strong agreement to adoption of conservation agriculture practices. The climate smart agricultural practices highly adopted by the respondents include; water retention and erosion control technique (89%) and efficient fertilizer application technique (79.5%), moderately adopted practices; home garden (63%) and compost making/green manuring (58%), whereas least adopted practices; early warning system (20.0%) and use of more efficient cooking stove (17%). The most severe constraint identified include lack of awareness and limited information about climate smart agriculture practices (x=1.87), as well as limited access to credit (x=1.80). High cost of labor for climate smart agriculture and policy inconsistencies (x=1.32, 1.44) were identified as not severe constraint compared to others. The study recommended that Extension agents and Research institute should create more awareness on impact of adopting Climate Smart Agriculture (CSA) practices and improve easy accessibility to weather and climate information through provision of mobile-based platforms or community radio broadcasts that deliver timely and relevant information.

From Sustainable Agriculture to Sustainable Agrifood Systems: A Comparative Review of Alternative Models

This paper reviews, compares, and critically evaluates two broad groups of sustainable agriculture models: “sustainable agriculture” and “sustainable agrifood systems”. The “sustainable agriculture” models—comprising organic farming, regenerative agriculture, climate-smart agriculture, carbon-capture agriculture, and nature-based solutions—focus primarily on improving ecological sustainability through farm-level practices. These models emphasize reducing external, industrial inputs, enhancing biodiversity, and promoting climate resilience, relying on technological and market-based solutions to address environmental concerns. On the other hand, the “sustainable agrifood systems” models—agroecology, alternative food networks, and permaculture—offer more ambitious visions of systemic transformation. These approaches not only seek to implement environmentally sound practices but also aim to reconfigure the broader food system by challenging corporate power, promoting local governance, fostering food sovereignty, and prioritizing social justice. Grounded in grassroots movements, these models emphasize social justice and economic viability in addition to ecological sustainability. This paper’s contribution lies in its comparative analysis of the wide array of sustainable alternatives, highlighting both their strengths and limitations. Adopting an agrarian political economy perspective, it critiques the former camp for limited engagement with structural issues inherent in capitalist agriculture and the latter camp for underplaying the importance of industrial agriculture for national development in the Global South.

Increasing Yield more than Maintaining Fertile Soils Motivated the Choice of Climate-Smart Soil Technologies among Greater Lira Pigeon Pea Farmers

Pigeon pea farmers in Gerater Lira, Uganda, fight the adverse effects of climate change and deteriorating soil fertility. They are combining different strategies and adopting climate-smart soil technologies (CSS technologies) to maintain fertile soil and increase yields. The study explored how the motive for maintaining fertile soils affected CSS technologies' choice. A sample of 39 farmers participated in laddering interviews. Data was analyzed by the means-end chain (MEC) framework and the centrality index (CI) technique. MEC results indicate that farmers predominantly linked crop diversification, addressed dietary needs, increased yields, and increased incomes. In addition, they paid less attention to maintaining fertile soils. Results of the CI highlight goal priorities by gender subgroups with females aged at least 40 paying more attention to producing food, soil fertility, and improving health, while male farmers of the same age category were inclined to spread production risk. Results further showed that male farmers below 40 years of age tend to produce for markets and benevolent, while their female counterparts tend to maintain soil nutrients. Our overall findings could help in the development of targeted strategies to encourage a wider spread of CSS technology use for climate-smart agriculture. This could enhance agricultural resilience in the face of climate change. We recommend encouraging farmers to apply CSS technologies while considering the long-term effects they might have on soil fertility. we further recommend that farmers intensify residual retention to improve soil fertility without requiring money to purchase inorganic fertilizer.

Climate change, agricultural transformation and climate smart agriculture development in China

Against the backdrop of increasingly severe global climate change, it has become an inevitable choice to promote the transformation of agriculture oriented to climate smart agriculture. The objective of this paper is to demonstrate realistic problem faced by China's agricultural transformation and identify key factors affecting agricultural development under the background of climate change. The paper constructs a linear econometric model and employes time series data from 1990 to 2019 to empirically test the impact of climate change and agricultural investment on agriculture in China. The results indicate that climate change has a negative impact on agriculture, while agricultural investment has a positive impact. Therefore, it is necessary to promote agricultural transformation oriented to climate smart agriculture. To this end, China must vigorously promote agricultural system reform, accelerate agricultural technological innovation, accelerate the development of agricultural big data and informatization, and strengthen financial support for agriculture.

Climate Change Adaptation and Resource Resilience in Semi-Arid Regions: Strategies, Challenges, and Case Studies

Semi-arid regions face unique climate change challenges that threaten local ecosystems, agriculture, and water resources. This review explores climate adaptation strategies, resource resilience practices, and policy interventions tailored to semi-arid ecosystems, with a focus on Rajasthan, India, as a representative region. Key strategies include sustainable water resource management, soil conservation, and climate-smart agriculture. Through case studies and a comparative global analysis, this review underscores the importance of blending traditional and modern practices to enhance resilience and advocates for policy and technological innovation to support sustainable adaptation. Insights gained from this review may serve as a foundation for adaptation strategies applicable to other semi-arid regions globally.

Recent Advances in Biopesticide Research and Development with a Focus on Microbials.

Biopesticides are pest control products derived from natural sources such as microbes, macro-organisms (insects and pathogens), plant extracts, and certain minerals. Many biopesticides are considered environmentally safe and can complement or substitute conventional chemical pesticides. They can also be highly specific or broad spectrum with a unique mode of action controlling a wide range of pest species. Due to their target-specificity and low to no environmental residuality, biopesticides conform to the 3 pillars of Climate-Smart Agriculture, the Sustainable Development Goals, and, ultimately, the Paris Agreement. This review focuses largely on microbial biopesticides derived from fungi, bacteria, viruses, and nematodes. It discusses (i) the various microbial biopesticide formulations, (ii) the mode of microbial biopesticide action, (iii) the factors that affect the potential efficacy of biopesticides, (iv) challenges to the adoption of microbial biopesticides, and (v) the role of microbial biopesticides in Integrated Pest Management programs. Finally, advancements in application techniques, as well as future research directions and gaps, are highlighted.

Pattern design for capacity building of promoters in climate-smart agriculture environment development

This study aimed to investigate the impact of agricultural environment, organizational, educational, economic, social, technical, cultural, and legal factors on the capacity building of extension experts in the development of climate-smart agriculture. The research is applied in terms of its objective and descriptive-survey in terms of its method. The statistical population of the research consisted of extension experts in three provinces, East Azerbaijan, West Azerbaijan, and Ardabil (N=4256). A sample size of 354 was selected using the Cochran formula. The data collection tool was a questionnaire using a five-point Likert scale. The formal and content validity of the questionnaire was confirmed by a group of experts and using the Average Variance Extracted (AVE) method before conducting the pilot study. The reliability of the research tool was evaluated by conducting a pilot study among 25 individuals outside the statistical population. In this research, SmartPLS software was used for data analysis. The results showed that infrastructural factors had the highest impact on climate-smart agriculture with 22%, followed by organizational factors with 21%, social factors with almost 17%, cultural factors with 16.5%, educational factors with 13%, legal factors with nearly 13%, technical factors with 11.4%, and finally, economic factors with just over 10%. Overall, the factors under study explain more than 68% of the variance in climate-smart agriculture (R2=0.687), indicating the impact of the aforementioned factors on the development of climate-smart agriculture. Also, the design of this model made the promoters, by identifying and increasing the potential and capacities of themselves, villagers and farmers, to be able to adapt themselves to climate change and drought, and by increasing resilience and adaptability, to have positive effects for the development of sustainable agriculture. Along with increasing the product, it will increase the income and reduce the costs for them.

Conservation tillage (CT) for climate-smart sustainable intensification: Benchmarking CT to improve soil properties, water footprint and bulb yield productivity in onion cultivation

Environmental sustainability indicators for conservation tillage (CT) in agricultural systems primarily focus on assessing the impacts on soil organic carbon (SOC) and water footprint (WF). One way to improve these indicators is by boosting crop production while minimizing environmental impact through the implementation of sustainable intensification (SI) and climate-smart agriculture (CSA) to ensure food security. Conservation agriculture (CA) based CT practice with crop residue retention has potential for benchmarking the conserving of water in agriculture, improving soil health, crop productivity and ensuring agricultural sustainability. The CT-based water-saving potential in onion cultivation nonetheless remains understudied in Bangladesh. For this, a field experiment was undertaken to assess soil properties and water footprint in onion cultivation in the Charland agroecosystem in Jamalpur, Bangladesh. Three different tillage practices, such as minimum tillage (MT), tractor tillage (TT) and conventional power tillage (PT), and flatbed flood irrigation were introduced with four replications. Tillage practices showed significant positive effects on yield characteristics and bulb yields. The findings indicate that the MT practice in onion (BARI Piaz-4) cultivation resulted in the highest fresh bulb yield of 22.79 t ha−1, followed by TT (20.48 t ha−1) and PT (16.25 t ha−1) practices. The MT practice achieved the highest water footprint (WF) savings of 40% water, where crop biomass, including above and below-ground parts, bulb size, yield characteristics, and yield productivity were significantly increased. The findings also indicate a direct correlation between the water productivity index (WPI), WF and the bulb yield under MT practice. The study's findings favor CT practice and, therefore, suggest a methodology of employing MT practice as a benchmark to increase agricultural water-saving potential. It can also be used as a reference for promoting water conservation practices achieving sustainable development and improving resource efficiency in agriculture.

Impact of climate-smart agriculture on the income and food security of cassava-producing households in the Savalou commune in Benin

Climate disruption today represents a threat to the environment and sustainable development. Climate-Smart Agriculture (CSA) is an appropriate adaptation approach to climate change. It allows producers to improve their production and act on their food security, despite the conditions of climate change while limiting the causes arising from agriculture. The objective of this study is to evaluate the impact of CSA, through the use of harvest residues in cassava fields, on the income and food security of cassava producing households in Savalou. The three-stage sampling method made it possible to draw a random sample of 360 cassava producers including 180 users of pigeon pea, mucuna and peanut harvest residues. The average income from cassava production during the last 12 months (until July 2023) is 366,400 FCFA with 387,340 FCFA for beneficiaries compared to 322,060 FCFA for non-beneficiaries. The impact analysis was done with the matching method based on propensity scores. The results of this impact study showed that this adoption contributes to improving income from cassava production by 35,135 FCFA and household food security by 0.10 points, on average per household per year. It would therefore be useful to promote and improve this type of agriculture, in order to ensure sustainable development of the agricultural sector and improve food security.

Emission Factors for Biochar Production from Various Biomass Types in Flame Curtain Kilns

Simple and low-cost flame curtain (“Kon-Tiki”) kilns are currently the preferred biochar technology for smallholder farmers in the tropics. While gas and aerosol emissions have been documented for woody feedstocks (twigs and leaves) with varying moisture contents, there is a lack of data on emissions from other types of feedstocks. This study aims to document the gas and aerosol emissions for common non-woody feedstocks and to compare emissions from finely grained, high-lignin feedstock (coffee husk) with those from coarser, low-lignin feedstocks (maize cobs, grass, sesame stems). Throughout each pyrolysis cycle, all carbon-containing gases and NOx were monitored using hand-held sensitive instruments equipped with internal pumps. Carbon balances were used to establish emission factors in grams per kilogram of biochar. The resulting methane emissions were nearly zero (<5.5 g/kg biochar) for the pyrolysis of three dry (~10% moisture) maize cobs, grass, and a 1:1 mixture of grass and woody twigs. For sesame stems, methane was detected in only two distinct spikes during the pyrolysis cycle. Carbon monoxide (CO) and aerosol (Total Suspended Particles, TSP) emissions were recorded at levels similar to earlier data for dry twigs, while nitrogen oxide (NOx) emissions were negligible. In contrast, the pyrolysis of finely grained coffee husks generated significant methane and aerosol emissions, indicating that technologies other than flame curtain kilns are more suitable for finely grained feedstocks. The emission results from this study suggest that certification of biochar made from dry maize, sesame, and grass biomass using low-tech pyrolysis should be encouraged. Meanwhile, more advanced systems with syngas combustion are needed to sufficiently reduce CO, CH4, and aerosol emissions for the pyrolysis of finely grained biomasses such as rice, coffee, and nut husks. The reported data should aid overarching life-cycle analyses of the integration of biochar practice in climate-smart agriculture and facilitate carbon credit certification for tropical smallholders.

A Summative Review of Advances in Sensor Technology for Precision Agriculture

Sensor technology has become a cornerstone of precision agriculture, offering a wide array of applications that enhance farming efficiency, productivity, and sustainability. By providing real-time data on soil health, crop growth, and environmental conditions, sensors enable farmers to optimize inputs such as water, fertilizers, and pesticides, reducing waste and improving yields. The development of advanced sensors, such as multi-spectral and hyper-spectral imaging, combined with artificial intelligence (AI) and machine learning (ML) algorithms, has revolutionized crop monitoring and disease detection, allowing for timely interventions that prevent significant losses. Additionally, the integration of wireless sensor networks (WSNs) and the Internet of Things (IoT) facilitates the seamless collection and transmission of data, enabling remote and automated farm management. This technology has proven instrumental in addressing the challenges of food security by increasing agricultural productivity and reducing input costs. Sensor technologies also promote sustainable land and water management by improving irrigation efficiency and reducing chemical runoff, thus minimizing environmental impact. Economic benefits are substantial, with farmers experiencing cost savings, increased yields, and higher profitability. Moreover, sensor technology contributes to climate-smart agriculture by improving resource use efficiency and reducing greenhouse gas emissions. However, challenges remain, including the high cost of sensor installation and maintenance, limited accessibility in remote regions, data privacy concerns, and the lack of interoperability between different sensor platforms. The future of sensor technology lies in the development of low-cost, biodegradable sensors, the increased use of autonomous and robotic platforms, and enhanced AI integration for more accurate data interpretation. Expanding the use of sensors in smallholder and developing world agriculture will be crucial for global food security and environmental sustainability, offering a promising path toward a more resilient and efficient agricultural system.

A bibliometric analysis of smallholder farmers’ climate change adaptation challenges: a SADC region outlook

Purpose This paper aims to explore pathways in which adaptation challenges may occur. Focus is on the barriers to adaptation, challenges to adaptation and maladaptation with reference to smallholder farmers in the Southern African Development Community region. Design/methodology/approach Bibliometric analysis techniques were used to track the literature on smallholder farmers’ adaptation challenges. Web of Science was the main data source. A total of 41 articles were retained for analysis and exported into Visualization of Similarities Viewer Software where the development of research on the subject, co-occurrence of keywords analysis, top publishers, citations and total link strength was done. Findings Results indicate that research on smallholder farmers’ adaptation challenges is not new but has gained more consideration post-2020. The main adaptation challenges emanate from perception barriers and constraints based on determinants of adoption, limitations for resilience building and achieving sustainable adaptation as well as contestations around Climate Smart Agriculture technologies. Practical implications Effective design of adaptation policies should center on prioritizing the needs of the local people. This would reduce the occurrences of smallholder farmers’ adaptation challenges, promote resilience building and contribute toward achieving sustainable adaptation. Originality/value It is equally important to document adaptation challenges. However, adaptation challenges are rarely shared with the same enthusiasm as its successes. This work focuses on the matter with the intention of conscientizing smallholder farmers to reduce the risk of repeating the same adaptation mistakes.

Determinants and acceptance of climate smart agriculture practices in South Africa

Determinants and acceptance of climate smart agriculture practices in South Africa

Climate-smart agriculture and food security in climate-vulnerable coastal areas of Bangladesh

The issue of global climate change is increasingly worrisome, particularly for countries heavily reliant on agriculture. To reduce the negative impact of climate change on agriculture, farmers of Bangladesh started adopting different climate smart agriculture (CSA) practices. The CSA sustainably increases productivity, resilience, and food security, which can contribute to the achievement of a number of sustainable development goals (SDGs). However, the adoption of CSA is low especially in the climate-vulnerable coastal areas of Bangladesh. Therefore, this study was conducted to identify the factors affecting the adoption of CSA and its influence on coastal household’s food security. A total of 327 sample farmers from three coastal districts of Bangladesh were interviewed. The collected data were then analyzed by using the binary probit and ordered probit model. The findings indicated that highest 65% of farmers adopted early planting of rice as one of CSA practices. The adoption of CSA practices positively affected by the household annual income, extension services and awareness regarding CSA practices. Moreover, the adopters of CSA were more food secure than non-adopters. For instance, adoption of one additional CSA practice leads to an increase in the likelihood of being food secure by 4.3%. In terms of policy perspective, the adoption of CSA in the coastal areas can be increased through creation of employment opportunities, increasing access to extension services, and broadcasting of CSA-related programs on mass media.

The Adoption and Impact of Climate-Smart Water Management Technologies in Smallholder Farming Systems of Sub-Saharan Africa: A Systematic Literature Review

Agriculture plays a significant role in global water consumption, accounting for approximately 70% of the world’s freshwater usage. This makes this sector a critical factor in the depletion of water resources. Accordingly, this paper explores potential mitigatory impacts of climate-smart water management (CSWM) technologies in sub-Saharan Africa. About 70% of the population in sub-Saharan Africa is dependent on agriculture for sustaining their livelihoods. This is despite the low agricultural output in smallholder farming systems (SFS) due to water scarcity. This has spurred several attempts to promote the adoption of climate-smart agriculture (CSA) to raise agricultural outputs and improve smallholder farmers’ livelihoods. However, there has not been a comprehensive analysis of data categorised by various aspects of climate-smart water management technologies. In this systematic literature review, climate-smart water management technologies in sub-Saharan Africa’s agricultural sector were identified and analysed to determine strategies that could enhance their adoption and impact. To this end, academic articles reporting on the adoption of climate-smart water management technologies in databases were reviewed. Four significant literature databases were used. These were limited to Springer Link, ScienceDirect, MDPI, Wiley Online, and Google Scholar. The findings demonstrate that rainwater harvesting and micro-irrigation are the primary climate-smart water management technologies used by smallholder farmers. The literature review shows that adoption of CSWM practices is constrained by inadequate technological infrastructure, financial implications, unsuitable policies, and low user skills, particularly. It is therefore recommended that government agricultural departments and relevant advocates of CSA should incentivise and subsidise smallholder farmers to encourage CSWM technology adoption. This can be achieved through the implementation of suitable policies directed at technological infrastructure development, financial support for adoption, and technical skills training.