Integrated farming systems (IFS) have been proposed as a solution to improve food security and livelihoods of smallholder farmers in resource-poor settings. A mixed-method approach combining quantitative surveys and qualitative interviews was employed. The study utilised statistical models such as logistic regression (logit (p) = eta₀ + eta₁X) to analyse the impact of IFS on farmer adoption. The findings indicate that a significant proportion (35%) of farmers in Benin are willing but hesitant about adopting IFS due to perceived economic benefits and technical challenges. This study provides insights into the feasibility and potential barriers of IFS implementation, offering recommendations for policymakers and practitioners. Policymakers should prioritise capacity building programmes and financial incentives to facilitate farmer adoption of IFS. Practitioners are advised to conduct more detailed case studies in different regions of Benin. Integrated Farming Systems, Benin, resource-poor farmers, mixed-methods study, logistic regression
Abossou Djeume (Wed,) studied this question.