Statistical Evidence on the Adoption of Climate Smart Agriculture Across Diverse Farming Systems

The study focuses on the determinants of CRATs (Climate-Resilient Agricultural Technologies) adoption in 7 ecologically diverse districts, namely, Munger, Nalanda, Nawada, Katihar, Purneia, Vaishali, and Samastipur. A stratified random sample study was able to find distinctions between small, marginal and medium sized farmers of rice-based and mixed cropping. Data on technologies such as zero/minimum tillage, crop diversification, timely sowing, crop calendar, site-specific nutrient control, laser land leveling, direct-seeded rice, and climate-resilient varieties was collected using surveys, interviews and field observations. The socio-economic and environmental variables on the adoption were measured using logistic regression, correlation analysis, and descriptive statistics. Results have shown that CRV/CSV was adopted the most with DSR and LLL becoming the least adopted initiatives. The favorable effects on adoption were observed with education, climate awareness, landholding size, residue management and investment although most of the effects were not significant.