This Data Descriptor aims to evaluate methodological approaches for measuring adoption rates among smallholder farmers in Kenya's agricultural systems. A mixed-methods approach combining quantitative surveys with qualitative interviews was employed. Data were collected from 200 randomly selected smallholder farms in three major agricultural regions: Rift Valley, Coast, and Eastern provinces. The analysis revealed a significant variance (p < 0. 05) in adoption rates across different farming communities, indicating the importance of context-specific interventions for effective policy implementation. This study underscores the necessity of tailored agricultural support strategies to enhance smallholder productivity and sustainability in Kenya. Future research should focus on validating these findings through replication studies and exploring long-term impacts of adopted practices. Agricultural adoption, Smallholders, Quasi-experimental design, Farm systems, Kenya The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Kiunjuri et al. (Tue,) studied this question.
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