Determination of Factors Affecting the Adoption of Integrated Farming System in Dryland Areas of Southern India by Using Supervised Learning Techniques

Abstract

Smallholders of dryland ecosystems continue to live below the poverty line while facing significant economic and social deprivation with decreasing landholding. Most dryland farmers perform conventional disintegrated farming practices due to a lack of knowledge and resource inefficiency. This study investigates the possibility of an Integrated Farming System (IFS) to address the current dryland farming issues and explore various factors affecting its adoption among the farming community. This study aims to apply and compare supervised learning techniques to assess the primary drivers affecting the adoption of the IFS in rural southern India. The study shows that organic fertilizer production, farmers’ age, and involvement in the extension activity are the major factors affecting the adoption of IFS among dryland farmers. The study supports that small and marginal farmers have a high possibility of realizing the higher benefit from IFS. The study recommends that these components be given proper policy consideration in designing and implementing an effective farming system in dryland areas to improve farmers’ income levels.