Adoption of Climate-Smart Agriculture (CSA) in Flood-Affected Regions of Darbhanga

Jay shankar Mishra; R. K. Doharey; N. R. Meena; Kumar Sonu; Bachali Deekshith

doi:10.48165/IJEE.2025.61312

Authors

Jay shankar Mishra M.Sc. Scholar, Department of Extension Education, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya https://orcid.org/0009-0000-4369-1655
R. K. Doharey Professor, Department of Extension Education, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya
N. R. Meena Assistant Professor, Department of Extension Education, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya
Kumar Sonu Research Scholar, Department of Extension Education, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya
Bachali Deekshith M.Sc. Scholar, Department of Extension Education, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya

https://doi.org/10.48165/IJEE.2025.61312

Keywords:

CSA Adoption, Flood-prone, Climate-smart practices, regression, Bihar

Abstract

The study aimed to evaluate the extent of adoption of Climate Smart Agriculture (CSA) practices among farmers residing in flood-prone areas of Darbhanga, Bihar, and to identify the key socio-economic factors influencing adoption. Data were collected during 2024–2025 from 160 respondents randomly selected from sixteen villages across four flood-affected blocks. A pre-tested interview schedule encompassing five CSA components was employed to gather information on adoption levels and socio-economic characteristics. The adoption of CSA practices was predominantly partial and practice-specific. Crop production practices recorded a mean adoption rate of 49.51%, whereas smart water management at 38.37%. Overall, 64.16% of the respondents exhibited a moderate adoption level. Correlation analysis demonstrated significant positive associations between adoption and variables such as knowledge, income, education, and family size. Further, the regression model (R² = 0.500; F = 13.451; p < 0.01) identified knowledge, income, education, family size, and extension contact as significant predictors of CSA adoption. The study concluded that improving farmers’ knowledge and enhancing their economic capacity could substantially increase CSA adoption, thereby strengthening climate resilience. These results underscore the importance of targeted extension services and capacity-building programs tailored to vulnerable regions.

References

DHSD. (2012). District health action plan 2012-13. Darbhanaga: District Health Society Darbhanaga.

Dutta, R., & Watts, H. (2010). FACTBOX - annual loss from floods in India Reuters Retrieved from http://in.reuters.com/article/2010/05/21/idINIndia-48687120100521

Erekalo, K. T., & Yadda, T. A. (2023). Climate-smart agriculture in Ethiopia: Adoption of multiple crop production practices as a sustainable adaptation and mitigation strategies. World Development Sustainability, 3, 100099. https://doi.org/10.1016/j.wds.2023.100099

Jatav, S. S., & Singh, N. P. (2023). Determinants of climate change adaptation strategies in Bundelkhand Region, India. Indian Journal of Extension Education, 59(2), 6-9.

Kapoor, S., & Pal, B. D. (2024). Impact of adoption of climate-smart agriculture practices on farmer's income in semi-arid regions of Karnataka. Agricultural Systems, 221, 104-135.

Khoza, S., De Beer, L. T., Van Niekerk, D., & Nemakonde, L. (2020). A gender-differentiated analysis of climate-smart agriculture adoption by smallholder farmers: application of the extended technology acceptance model. Gender, Technology and Development, 25(1), 1–21. https://doi.org/10.1080/09718524.2020.1830338

Kirungi, D., Senyange, B., Wesana, J., Sseguya, H., Gellynck, X., & De Steur, H. (2023). Entrepreneurial and attitudinal determinants for adoption of Climate-smart Agriculture technologies in Uganda. Cogent Food & Agriculture, 9(2), 2282236.

Koyu, B., Singh, R. J., & Singh, R. (2021). Factors influencing behavioural intention of farmers to use e-learning module on climate-smart horticulture in Arunachal Pradesh. Indian Journal of Extension Education, 57(4), 40-43.

Kumar, P. S., Kv, P., & Singh, A. (2025). Awareness and key determinants of climate-smart agricultural technologies adoption among smallholder farmers in Telangana, India. Journal of Scientific Research and Reports, 31(4), 20-29.

Lakshmi, R., Singh, A. K., & Shelar, R. (2023). Knowledge and adoption of good management practices among Litchi farmers in Muzaffarpur district of Bihar. Indian Journal of Extension Education, 59(4), 130-134.

Maya, M. A. K., Siva, S., & Thomas, A. (2025). Constraints faced by pineapple farmers in adopting climate-smart adaptation strategies in Kerala. Indian Journal of Extension Education, 61(1), 104-107. https://doi.org/10.48165/IJEE.2025.611RN02

Petros, C., Feyissa, S., Sileshi, M., & Shepande, C. (2024). Factors influencing climate-smart agriculture practices adoption and crop productivity among smallholder Farmers in Nyimba District, Zambia. F1000Research, 13, 815. https://doi.org/10.12688/f1000research.144332.2

Shitu A. G., Nain M. S., & Singh R. (2018). Developing extension model for smallholder farmers uptake of precision conservation agricultural practices in developing nations: Learning from rice-wheat system of Africa and India. Current Science, 114(4),814-825.

Shitu G. A, Nain M. S. & Kobba F. (2018). Development of scale for assessing farmers’ attitude towards precision conservation agricultural practices. Indian Journal of Agricultural Sciences, 88(3), 499-504.

Shitu A.G. & Nain M.S. (2024). Benefits of precision conservation agriculture practices as perceived by Indo-Gangetic Plain (IGP) community for climate-smart agriculture, SKUAST Journal of Research 26(2): 219-226, https://doi.org/10.5958/2349-297X.2024.00029.2

Singh, S. (2020). Farmers’ perception of climate change and adaptation decisions: A micro-level evidence from Bundelkhand Region, India. Ecological Indicators, 116, 106475.

Sonu, K., & Jha, K. K. (2025). Knowledge gap and path analysis of adoption of makhana (Euryale Ferox Salisb) Growers in Bihar. Indian Journal of Extension Education, 61(1), 83-88.

Thakur, S., Sidana, B. K., & Guleria, A. (2024). Drivers of climate-smart practices adoption: evidence from Punjab. Indian Journal of Agricultural Economics, 79(3), 787-800.

WRD. (2015). History of floods in Bihar. Retrieved from http://fmis.bih.nic.in/history.html