Assessing the performance of agricultural advisory models for scaling-out conservation agriculture with trees in East Africa (Kenya)

Abstract

A survey of 292 respondents, that were members of farmer groups, and had been provided advisory services and CAWT training under either Landcare, FFS or traditional Ministry of Agriculture models took place (the survey is an appendix within the thesis). Respondents were selected using gender-based stratification and then random selection. Baseline and endline (post-intervention) data was collected from farmers that were within selected groups and were offered training on CAWT. Data was collected on a number of household parameters, land management, access to information and training and social networks for information sharing. The data sets are separated into the data used for the regression analysis on agroforestry and Conservation Agriculture understanding and practice and social network analysis (SNA).