Attributes of Farm Income Operating on Conservation Agriculture: TheMultivariate and ANN Analytics

Abstract

Conservation agriculture (CA) is the combination of environmental management, modernand scientific agriculture, which employs farmers’ ability to utilize, innovate, and adapt tochanging situations, as well as their holistic acceptance of knowledge along with ensuringsustainability. Farm-level adoption of CA is related to reduced labour and agricultural inputs,more consistent yields, and increased soil nutrient exchange capacity. A good quality landyields good results to everyone, confers good health on the entire family, and causes growthof money, cattle, and grain. The present study depicts hard evidences by identifying markervariables impacting income augmentation through conservation agriculture. A score of 50farmers has been selected from two blocks of Cooch Behar district of West Bengal, bynon-probability snowballing sampling techniques with a total of eighteen independentvariables along with income from major crop is used as the dependent variable through astructured interview schedule. A basket of multivariate analytical techniques has been appliedalong with Artificial Neural Network (ANN) as well. The results depict that a blend ofdiversified farming and farming experiences in CA contributed immensely to scale up incomefrom conservation agriculture approaches.