Methodology of Identification and Characterization of Farming Systems in Irrigated Agriculture: Case Study in West Bengal State of India

Targeted extension for heterogeneous farming systems is a challenge in developing countries. Farm type identification and characterization based on estimates of income from different farm components allows simplifying diversity in farming systems. Use of multivariate statistical techniques, such as principal component analysis (PCA) and cluster analysis (CA), help in such farm typology delineation. Using this methodological approach, the present study conducted in West Bengal, India, identified four distinct farm types, namely, farms growing food grain and jute, farms with animal husbandry and fishery based diversification with high off-farm income, farms with crop based diversification with off-farm income, and farms growing vegetables and fruits. Such typology delineation helps in differentiated, holistic, and broad-based extension intervention to address the need of different identified farm types and a reduced transaction cost in the agricultural research and extension system.