Climate-smart Agriculture Technologies Research Articles

Climate change adaptation and smallholder farmers welfare: Empirical evidence from the Sahelian Region of West Africa

Global climate change has threatened sustainable agricultural growth over the years, severely affecting food sufficiency and the livelihood of farmers. The Climate-Smart Agricultural Technologies (CSAT), as a form of adaptation, offer pathways for mitigating the negative effect of climate change on crop producers in developing countries. This study uses cross-country (Mali and Niger) cross-sectional data to examine the welfare (proxied by crop sales revenue and income) impact of multiple adoptions of CSAT on smallholder farm households. To control for potential endogeneity that leads to bias estimates, we employ the multinomial endogenous treatment effect (METE) model, complemented with the inverse probability weighted regression adjustment (IPWRA) for the analysis. The result reveals that household (education, location, and assets) and plot (plot size, plot topography, and soil fertility) characteristics, institutional factors (farmer-based organization, access to formal credit, and extension service) and crop disease shock significantly influence different combinations of CSAT adoption. The impact estimates show that adopting joint combinations of CSAT leads to higher crop sales revenue and income among the farmers in most cases. These findings suggest that the adoption of CSAT as a package should be encouraged and disseminated in the West Africa Sahel region. Moreover, some sociodemographic and institutional factors such as education, credit access, farmer-based organizations, and extension services could be strengthened for easy and rapid adoption of CSAT by smallholder farmers, which subsequently improves their economic welfare.

Enhancing crop yields and farm income through climate-smart agricultural practices in Eastern India

Climate-induced increase in temperature and rainfall variability severely threaten the agricultural sector and food security in the Indian state of Odisha. Climate-smart agricultural (CSA) practices, such as crop rotation and integrated soil management, help farmers adapt to climate risk and contribute to a reduction in greenhouse gas (GHG) emissions. Therefore, this paper examines the impact of CSA practices on yield and income in vulnerable semi-arid districts of Odisha—Balangir, Kendrapara, and Mayurbhanj. We use primary survey data from 494 households collected in 2019–2020, using a multi-stage stratified sampling approach and structured questionnaire. Propensity score matching (PSM) and the two-stage least square method (2SLS) have been used to analyze the impact of CSA on income and productivity. Two instrument variables, namely distance to the extension office and percentage of adopters in a village, are used to control self-selection bias and endogeneity in our model. Both models show a positive and significant impact of the adoption of CSA on farmers’ productivity and income. The study sheds light on the significant contribution of CSA practices in fostering sustainable income growth amid environmental challenges. Overall, our results suggest that small and marginal farmers of Eastern India, a highly environmentally vulnerable area, can significantly improve their income and productivity by adopting CSA technology. Hence, policymakers should scale the adoption of CSA technology through effective extension programs.

Detection of vegetation cover change in the Southern region of Bangladesh using the Normalized Difference Vegetation Index (NDVI) and Climate Smart Agriculture (CSA) practices

Bangladesh is extremely vulnerable to climate change, and vegetation indices serve as sensitive indicators. Due to the impacts of climate change, the cropping intensity of Southern region of Bangladesh is very low. So, this study aimed to analyze the changes in vegetation cover over time using the Normalized Difference Vegetation Index (NDVI) and identify the use of Climate Smart Agriculture (CSA) technologies and the benefits of using such technologies. A questionnaire survey was carried out by purposive random sampling method to detect 120 farmers’ socioeconomic status, hazards faced by climate change, adopted climate smart agricultural practices and its benefits for assessing Adaptive Strategy Index (ASI) in Amtali upazila of Barguna district and Kalapara upazila of Patuakhali district. NDVI analysis of multi-spectral remote sensing data from 2012 and 2022 indicated the extent of sparse vegetation of Kalapara has increased. Western part of Amtali upazila, fallow areas have become lessened in 2022 (354.55 km2) compared to 2012 (368.78 km2) due to adopting different CSA practices. Saline-tolerant crop varieties, sunflowers, and watermelon cultivation were the highest ranked among the CSA practices, with 301, 300, and 296 ASI, respectively. Calculated weighted average of CSA practices indicated the reduction of production cost, increased family income (49.19%) and cropping intensity (51.67%), which impacts developed social bonding.

Review on Climate Smart Agriculture Practice: A Global Perspective

Climate change is having a detrimental effect on the environment’s natural equilibrium. The population that depends on agriculture is suffering from rising temperatures, sporadic droughts and famines, unpredictable dry spells, and irregular rains. Deploying Climate Smart Agriculture (CSA) is a terrific strategy to cut greenhouse gas emissions and boost crop output for food security and climate change adaptation. The primary objective of this study is to provide an organized appraisal of current advancements in the field of climate-smart agriculture. For this study, the Scopus database was used to analyze 157 papers that were published between 2013 and 2022. However, the use of climate-smart agriculture technology that considers local knowledge is still quite low in developing countries. Therefore, raising the importance of indigenous knowledge in the context of climate change could aid smallholder agricultural groups in their adaptation. Improving adaptability, developing capacity, and fusing indigenous knowledge with climate-smart agricultural practices may all be necessary to increase a community’s effective resilience to climate change.

Business strategies towards climate‐smart agriculture in Europe: A literature review

AbstractIn response to increasing demands for sustainability, the entire agri‐food sector is in transition towards climate‐smart agriculture (CSA). The academic discourse on CSA has substantially expanded, including a large number of empirical studies, quite often case studies. There is a strong need to take stock of research, both from an academic and from a managerial point of view. This article integrates the dispersed insights in the literature and maps the implications for business strategies. Analysing 142 peer‐reviewed articles published in Scopus and Web of Science databases (2000–2022), we find that business strategies for CSA rely on formal institutions as well as on informal relationships characterised by trust and social interactions. The importance of a multi‐stakeholder network approach stems from the complexity of the CSA, the market failing to monetise environmental and social values and the substantial investments in new CSA technology that farmers cannot undertake independently. A successful interplay among stakeholders, however, requires alignment of value creation, distribution and capture at every individual actor and at the entire stakeholder group level.

Rice farmers’ adoption of climate-smart agricultural technologies and its effects on yield and income: empirical insights from Ghana

Rice farmers’ adoption of climate-smart agricultural technologies and its effects on yield and income: empirical insights from Ghana

Promoting the adoption of climate-smart agricultural technologies among maize farmers in Ghana: using digital advisory services

Although policy and advisory communities have promoted the use of digital advisory services (DAS) to stimulate technology adoption among smallholder farmers, little is known about whether DAS use encourages farmers to adopt climate-smart agricultural (CSA) technologies. This study addresses the gap by estimating data collected from 3197 maize-producing households in rural Ghana and considering three CSA technologies: row planting, zero tillage, and drought-tolerant seeds. A recursive bivariate probit model is utilized to mitigate selection bias issues. The results show that DAS use significantly increases the probabilities of adopting row planting, zero tillage, and drought-tolerant seeds by 12.4%, 4.2%, and 4.6%, respectively. Maize farmers’ decisions to use DAS are influenced by their age, gender, education, family size, asset value, distance to farm, perceived incidence of pest and disease, perceived drought stress, and membership in farmer-based organizations (FBO). Furthermore, the disaggregated analysis reveals that DAS use has a larger impact on the row planting adoption of female farmers than males.

Can social networks facilitate smallholders’ decisions to adopt climate-smart agriculture technologies? A three-level meta-analysis

Can social networks facilitate smallholders’ decisions to adopt climate-smart agriculture technologies? A three-level meta-analysis

Understanding the Knowledge Level of Farmers towards Climate Smart Agricultural Technologies in Agro-climatic Zones of Tamil Nadu, India

Aims: Although farmers experience various technical, technological, production, labor-related and marketing constraints to carry out agricultural activities, climate change acts as the root cause of several other constraints. Climate change consequences drastically reduce agricultural yield by affecting critical changes of crop growth and questions food and nutritional security; additionally it also imposes economic loss to the country. Hence, to ensure food and nutritional security for the growing population and to ensure sustainable income for the farming community, a farmer has to tackle the consequences of climate change by adoption of CSA technologies Farmer’s knowledge level towards any technology, determine its rate of adoption. Hence, this study aims to assess the knowledge level of farmers towards CSA technologies in Agro-climatic zones of Tamil Nadu.
 Study design: Ex-post facto research design was employed in the study.
 Place and Duration of Study: The study was carried out in seven agro-climatic zones of Tamil Nadu viz., Villupuram district of North Eastern Zone, Namakkal district of North Western Zone, Coimbatore district of Western Zone, Tiruvarur district of Cauvery Delta Zone, Ramanthapuram district of Southern Zone, Kanyakumari district of High Rainfall Zone and the Nilgiris district of the Hilly Zone of Tamil Nadu during 2022-2023.
 Methodology: From each of Agro-climatic zones of Tamil Nadu, the vulnerable districts or the districts with NICRA project have been identified and the CSA technologies adopted by the farmers were documented. Thirty farmers who adopts CSA technologies from each agro-climatic zone were selected and interviewed personally to assess their knowledge level towards those technologies in a five point continuum ranging from ‘No knowledge’ (1), ‘Minimal knowledge’ (2), ‘Basic knowledge’ (3), ‘Adequate knowledge’ (4) and ‘Superior knowledge’ (5) respectively. The gathered responses were subjected to percentage analysis.
 Findings: The findings revealed that Villupuram, Coimbatore and Tiruvarur farmers had superior knowledge on precision based nutrient management, Namakkal farmers had superior knowledge on use of additives and supplements in livestock feed, Ramanathapuram farmers had superior knowledge on utilization of weather based agro-advisory services, Kanyakumari farmers had superior knowledge on adoption of moisture conservation practices and Nilgiris farmers had superior knowledge on adoption of improved seed varieties and use of biofertilizers.
 Conclusion: Villupuram, Coimbatore and Tiruvarur farmers had superior knowledge on precision based nutrient management; Namakkal farmers had superior knowledge on use of additives and supplements in livestock feed; Ramanathapuram farmers had superior knowledge on utilization of weather based agro-advisory services; Kanyakumari farmers had superior knowledge on adoption of moisture conservation practices and, The Nilgiris farmers had superior knowledge on adoption of improved seed varieties and use of biofertilizers. Thus, it can be concluded that farmers had superior knowledge on CSA technologies based on their perceived climatic change consequences and their accessibility to location specific technologies.

Determinants of adoption of climate smart agricultural technologies in wheat production in Arsi Zone, Oromia Region of Ethiopia

AbstractClimate-resilient crop production requires the use of crop technology that can sustainably increase productivity, build resilience to climate change, and reduce greenhouse gas emissions. Despite countrywide initiatives that promote climate-smart agricultural technology (CSAT) adoption, the rate of adoption has been extremely low. Therefore, this study aims to identify factors that affect the adoption of CSATs in wheat production in the Arsi zone of the Oromia region of Ethiopia. Towards this, plot-level primary data were gathered from 628 plots that were managed by 422 randomly selected wheat-producing smallholder farmers in three selected districts of the Zone. Descriptive statistics and multivariate probit (MVP) model were used to analyze data. The major CSATs adopted for wheat production in the study area were improved wheat varieties (95%), integrated soil fertility management (85%), and irrigation (19%). The result of the MVP model revealed that farmers with higher levels of education, farming experience, and contact with extension workers, have credit access, have access to market information, have greater annual total income, and are closer to the nearest market center are more likely to adopt CSATs in wheat production. Therefore, it is recommended that to enhance the adoption of CSATs in wheat production, policymakers and other development partners should concentrate on the identified factors that were significantly associated with the decisions to adopt CSATs.

Drivers of climate-smart agricultural technology uptake among smallholder coffee farmers in Kalehe Territory, Democratic Republic of Congo

Drivers of climate-smart agricultural technology uptake among smallholder coffee farmers in Kalehe Territory, Democratic Republic of Congo

Value chain extension services for climate-smart agriculture adoption: evidence from Burkina Faso's cotton farming

PurposeThis study assesses the extent to which integrated extension services contribute to the adoption of climate-smart agriculture (CSA) innovations within the cotton value chain in Burkina Faso.Design/methodology/approachTo address the research question, a probit multivariate econometric model with sample selection is utilized. The model is applied to a random sample of farmers (n = 510), and the endogeneity is addressed through a control function approach.FindingsThe study highlights the central role of value chains, particularly in the cotton sector, in overcoming resource scarcity through integrated extension services. Findings show that smallholder farmers who benefit from sound extension services are more willing to adopt and diversify CSA technologies. These include improved seeds, conservation techniques, adapted planting dates and mechanization. This study confirms the synergistic nature of these technologies and emphasizes that effective climate risk mitigation depends on the combined adoption of CSA technologies.Research limitations/implicationsThe use of cross-sectional data limits the analysis of long-term farmer behavior, and due to data limitations, the focus was primarily on the contributions of cotton companies and farmers to climate risk mitigation. Future research using panel data across the value chain could provide a more robust insights for policy decision-making.Originality/valueThe study contributes to the existing body of knowledge by emphasizing the crucial role of integrated extension services within the cotton value chain in developing countries. This highlights the critical benefits for farmers and emphasizes the need to diversify modern technologies to effectively combat climate change and its variability in agriculture.

Farmers’ adoption of multiple climate-smart agricultural technologies in Ghana: determinants and impacts on maize yields and net farm income

This study investigates the factors affecting maize farmers’ decisions to adopt climate-smart agricultural (CSA) technologies and estimates the impacts of CSA technology adoption on maize yields and net farm income. Unlike most previous studies that analyze a single technology, we consider different combinations of three CSA technologies (zero tillage, row planting, and drought-resistant seed). A multinomial endogenous switching regression model addresses selection bias issues arising from observed and unobserved factors and analyses data collected from 3197 smallholder farmers in three Ghana regions (Brong-Ahafo, Northern, and Ashanti). The findings show that smallholder farmers’ decisions to adopt multiple CSA technologies are influenced by farmer-based organization membership, education, resource constraints such as lack of land, access to markets, and production shocks such as perceived pest and disease stress and drought. We also find that adopting all three CSA technologies together has the largest impact on maize yields, while adopting row planting and zero tillage as a combination has the largest impact on net farm income. Governments should collaborate with farmer-based groups and extension officers to improve farmers’ awareness and understanding of the benefits associated with CSA technologies and help them adopt multiple technologies that generate higher benefits.

Using participatory videos in understanding farmers experiences with climate smart agricultural practices: reflections from Ghana

Climate-smart agriculture (CSA) has gained traction as one of the effective strategies in tackling the climate crisis. Many CSA practices have been promoted by development agencies to smallholder farmers based on the assumption that farmers would adopt these innovations for their potential benefits. However, the adoption of CSA practices in Ghana and much of Africa remains low and decision making and on-farm innovation processes are poorly understood. This study seeks to provide empirical and participatory insight into how smallholder farmers innovate. Based on a novel application of a participatory video methodology, in farming communities in the Upper West Region of Ghana, that have been exposed to multiple CSA intervention programmes, the paper analyses farmers’ own self-curated accounts of experiences with CSA innovation. The findings show that farmer’s motivation to adopt CSA innovations is driven by their concerns for food security, economic gains, and the environmental impact of climate change on their farming activities and livelihood. The study reveals a mismatch between the CSA technologies and practices advanced by the development agencies and what farmers perceive as relevant and important in addressing their farming challenges. In particular, the findings show that in a pool of more than 12 CSA technologies and practices that had been promoted through three donor-driven intervention programmes in the communities, farmers selected less labour intensive, less costly, and CSA technologies and practices that fitted to their current farming practices and the local context. Agricultural extension agents served as an important information source on the CSA innovation and their practical implementation and farmers’ social groups played a crucial role in facilitating learning about the CSA technologies and practices. There is the need to integrate farmers voices using innovative methodologies such as participatory videos to better understand farmers’ experiences in the innovation process which will help inform the design of effective interventions and promote adoption of innovations aimed at enhancing the productivity of smallholder farmers and reducing environmental impacts in African food systems. By focusing on the innovations that farmers perceive as beneficial and adaptable to their local contexts, development organizations can use their resources more efficiently and promote adoption of contextually appropriate CSA innovations.

Impacts of climate variability on the vegetable production of urban farmers in the Addis Ababa metropolitan area: Nexus of climate-smart agricultural technologies

This study was aimed at examining the impacts of climate variability on vegetable production and nexus climate-smart agriculture technologies. The study was conducted on vegetable farmers along the little Akaki River in Addis Ababa. Field data was collected from 156 randomly selected vegetable farmers via semi-structured survey questions. Climate data from 1996 to 2020 was analysed using qualitative and quantitative descriptive statistics methods. The results of monthly and annual precipitation variability indicated a coefficient of variation (CV) ranging from 23% to 73% and 49% to 98%, respectively. Seasonally, CV ranges between 34% and 99%, 50%–97%, and 20%–84% in Belg, Bega, and Kiremt, respectively. The results of respondents' perceptions indicated an increasing trend in temperature and precipitation variability. Vegetable urban farmers perceived an increase in the frequency of floods and rain falls (44.9%), drought frequency (13.5%), temperature (89.7%), and a decrease in the trend of vegetable productivity (86.5%) as the major impacts of climate variability. However, changing vegetable varieties (31.4%), early planting (26.9%), mixed farming (26.6%), late planting (5.1%), using agrochemicals (4.5%), and agroforestry (1.9%) are the major on-farm climates where smart agriculture technologies were identified for adaptation. Shift occupation (37.8%), nonadaptation (36.5%), and non-farm activations (24.4%) were employed by the farmers as off-farm adaptation options. In addition, vulnerability analysis indicated that the absence of direct access to the market, inadequate access to weather information, land fragmentation, and tenure complications are the major determinants of being vulnerable. Finally, high precipitation and temperature variability affect vegetable productivity. Practical ImplicationsClimate extreme phenomena are substantial pressures on urban agricultural production systems in risk-prone cities, where climate service challenges are rising globally (Sanfo et al., 2022; Kifle et al., 2022; Ebissa and Desta, 2022); besides, the requirement to produce more urban vegetables to feed residents, an ever-increasing and vulnerable group, is undeniable (Martinez et al., 2022). Additionally, climate variability and change threaten urban and pre-urban farmers’ livelihoods and agricultural farming, particularly in semi-arid areas in Africa (Magesa et al., 2023). Furthermore, 64 % of the world’s poorest people lived in sub-Saharan Africa in 2020, which strongly requires the implementation of Sustainable Development Goals 1 (no poverty), 2 (zero hunger) and 11 (make cities and human settlements inclusive, safe, resilient, and sustainable) in the region (Magesa et al., 2023; Chitakira and Ngcobo, 2021; Degefu et al., 2021c).Thus, cities are exposure to compatible climate information services is vital for anticipating climate variability risks in vegetable production, optimizing the training of practitioners (urban farmers), and adapting to climate change through climate smart agriculture technologies (Degefu et al., 2021a; Chitakira and Ngcobo, 2021; Kifle et al., 2022). Moreover, it is compulsory to ascertain and analyze impact insights and their origins, vulnerabilities, and adaptive potential among urban farmers before beginning with the exercise of any given climate service to understand the demands of urban vegetable farmers and the possible exploitation of nexuses (Dendir and Simane, 2021).Conversely, in Ethiopia, the agriculture sector is identified as one of the sectors most vulnerable to climate change and vulnerability (Kifle et al., 2022). On top of these, the productivity and the concern of urban agriculture (vegetable production) is highly ignored and reduced the potential, productivity and suitability of ecological land (Kifle et al., 2022; Degefu et al., 2021b; Degefu et al., 2021c). Besides, the combined effect of climate variability, population pressure, and urban ecosystem dynamics reduced urban vegetable production and leads the farming community into a viscous of poverty circle and worsens food security (Amberber et al., 2020; Degefu et al., 2021c).However, previous studies have revealed that the effectiveness of climate information services on urban ecosystems depends on (i) the ability of urban farmers to access, understand, and overcome institutional constraints (Kiplagat et al., 2022) (ii) the capacity of end-users to translate the information and knowledge into effective decision-making options (Dendir and Simane, 2021), and (iii) the capacity of end-users to translate the information and knowledge into effective decision-making options (Martinez et al., 2022). To that end, the disparity between the awareness of urban farmers and policymakers towards the benefits of CSA and their practices implies that indigenous knowledge-based research on CSA farming and land management technology should be conducted. Therefore, it is crucial to appreciate the practices and adoption of CSA at the city level to realise triple-win outcomes: increased productivity, enhanced resilience, and mitigating climate variability and change.

Determinants of Climate Smart Agriculture Technology Practices in Ghana: Application of Multinomial Logistic Regression

Determinants of Climate Smart Agriculture Technology Practices in Ghana: Application of Multinomial Logistic Regression

Factors influencing the adoption of climate smart agriculture practices among smallholder farmers in Kakamega County, Kenya

Most of Kenya’s population’s livelihoods and agri-food systems rely on rain-fed agriculture making them vulnerable to climate change. The adverse effects of climate change on agricultural production have necessitated the promotion of Climate-Smart Agriculture (CSA) technologies. Climate-Smart Agriculture (CSA) technologies help guide actions needed to transform and reorient agricultural systems to effectively support development and ensure food security by increasing farmers’ resilience to climate change. This study sought to ascertain the current state of CSA practices among Kakamega County's smallholder farmers to identify the main drivers of CSA adoption. Stratified sampling was used to select six sub-counties to represent the county's various agroecological zones and regions for the research sample. A combination of purposive and snowball sampling was used to select 428 smallholder CSA farmers of which 182 were adopters while 246 were dis-adopters. Primary data were collected using interview guides developed through the Kobo Collect Application. Microsoft Excel and Statistical Package for Social Sciences (SPSS) statistical packages were used to process and analyze the data. This study established that CSA technologies in Kakamega are mainly promoted by international development partners, non-governmental organizations and research organizations. In addition, the most adopted CSA technologies were agroforestry, composting, and soil and water conservation structures, while push-pull technology, conservation agriculture, and vermiculture were the least adopted. This study, further, established that smallholder farmers’ level of education, membership to a farmers’ group, interaction with extension officers and farming experience influenced adoption of CSA technologies. Other factors are those that increase household productive resources, such as land ownership, household income, and access to agricultural credit. The results of this study suggest that those who promote CSA technologies, policymakers, extension service providers, and other stakeholders should take smallholder farmers' socioeconomic and bio-physical factors into account when doing so. Key words: Climate-smart agriculture, CSA practices, CSA adoption, CSA dis-adoption, smallholder farmers

Determinants of Adoption of Climate Smart Agricultural Technologies among Farm Households in Southern Karnataka, India

The Climate change and its effects on agriculture pose major concerns for achieving a food-secure economy, particularly in developing countries like India. Furthermore, the carbon footprints resulting from agricultural activities are also a significant concern for the future climate. This study made an attempt to analyse the factors influencing the adoption of climate smart agricultural technologies among farmers in Chikkaballapur and Tumakuru, districts of Southern Karnataka using primary data collected from 180 randomly selected farm-households comprising 45 adopters and 45 non-adopters of climate smart agricultural technologies from each district. The data was analysed by fitting probit model to assess the factors influencing the adoption of climate smart agricultural technologies. The empirical results revealed that education (0.51), land holdings (0.63), credit accessibility (3.83), membership in organization (2.47), access to weather information (4.10), attended training (2.00) and farm income (0.49) were positive and significant relationship with the adoption of climate smart agricultural technologies in Chikkaballapur district. Similarly, in Tumakuru district age (0.14), contact with extension agent (2.78), credit accessibility (2.01), membership in organization (2.75), access to weather related information (2.16), participation in training (2.93) and farm income (0.34) was positive and significantly influenced the adoption of climate smart agricultural technologies among farm households. Whereas, age (-0.14) and land holdings (-0.39) of the respondents were negatively influenced the adoption in Chikkaballapur and Tumakuru districts, respectively. The findings, suggests that more emphasis should be given to increase awareness on innovative technologies and most importantly the institutional factors place a crucial role in enhancing the adoption of climate smart agricultural technologies in the study area among the farming community.

Entrepreneurial and attitudinal determinants for adoption of Climate-smart Agriculture technologies in Uganda

Entrepreneurial and attitudinal determinants for adoption of Climate-smart Agriculture technologies in Uganda

Impact of adoption of climate-smart agriculture on food security in the tropical moist montane ecosystem: The case of Geshy watershed, Southwest Ethiopia

The traditional rain-fed agriculture system of Ethiopia is suffering from climate change impacts and extremes. It must be improved to feed the growing population and create a resilient society. Climate-smart agriculture (CSA) is currently promoted as an approach intended to increase sustainable agricultural productivity, enhance household resilience, and reduce greenhouse gas emissions. This study was, therefore, undertaken to examine how food security can be improved by the adoption of multiple climate-smart agriculture (CSA) practices of smallholder farmers in a moist tropical montane ecosystem of Southwest Ethiopia. Data was collected from 384 purposively selected households through cross-sectional study design using a semi-structured questionnaire. Eight Focus group discussions and fifteen key informant interviews were also conducted to check the reliability of the survey data collected. In the study area, a total of eighteen CSA practices, adopted by farmers, were identified. Using principal component analysis, these practices were further grouped into five packages and a multinomial endogenous switching regression model was used to link these packages to the food security status. The findings revealed a great variation in the proportion of households using CSA practices where 92.3 % were using crop management practices whereas 11.2 % were using soil and water conservation practices. The study found that the maximum effect of CSA adoption on food security was by farmers who adopted all the five category CSA technologies. Households that adopted this package were more food secure by 41.2 % in terms of per capita annual food expenditure, 39.8% in terms of Household Food Insecurity Access Scale (HFIAS), and 12.1% in terms of Household Food Consumption Score (HFCS) than the non-adopters. The adoption of this group of practices was further influenced positively by farm size, gender, and productive farm asset values. Using CSA practices in combinations and to a relatively larger extent can potentially solve food security problems. Motivating farmers by providing income-generating activities and discouraging land fragmentation through public education is essential. This in turn improves CSA adoption and initiates production assets investment that can absorb climate change risks.