ARTICLE INFO Keywords: Conservation agriculture, Artificial neural network, Farm income, Snowball sampling http://doi.org/10.48165/IJEE.2022.58110 Received 22-10-2021; Accepted 12-11-2021 Copyright@ Indian Journal of Extension Education (http://www.iseeindia.org.in/) Research Article Indian Journal of Extension Education Vol. 58, No. 1 (January–March), 2022, (44-48) ISSN 0537-1996 (Print) ISSN 2454-552X (Online) Attributes of Farm Income Operating on Conservation Agriculture: The Multivariate and ANN Analytics Cornea Saha 1 , S. K. Acharya 2 *, Monirul Haque 3 , Riti Chatterjee 3 and Anwesha Mandal 3 1 PG Scholar, 2 Professor, 3 Ph.D. Research Scholar, Department of Agricultural Extension, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia-741252, West Bengal, India *Correspondence author email id: acharya09sankar@gmail.com ABSTRACT Conservation agriculture (CA) is the combination of environmental management, modern and scientific agriculture, which employs farmers’ ability to utilize, innovate, and adapt to changing situations, as well as their holistic acceptance of knowledge along with ensuring sustainability. 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 land yields good results to everyone, confers good health on the entire family, and causes growth of money, cattle, and grain. The present study depicts hard evidences by identifying marker variables impacting income augmentation through conservation agriculture. A score of 50 farmers has been selected from two blocks of Cooch Behar district of West Bengal, by non-probability snowballing sampling techniques with a total of eighteen independent variables along with income from major crop is used as the dependent variable through a structured interview schedule. A basket of multivariate analytical techniques has been applied along with Artificial Neural Network (ANN) as well. The results depict that a blend of diversified farming and farming experiences in CA contributed immensely to scale up income from conservation agriculture approaches. INTRODUCTION The good earth has her own and the sweetest music of ecological resilience and rhythm, as if, the symphonies of Beethoven or Mozart are on their best of melodies. Agriculture, once upon a time, has been the pristine child of nature with all music of traditional knowledge, praxis, and natural sciences. The explosion of population and industrialization, consumerism, and urbanization have driven us to a compulsion of making ecosystems denuded, depleted, and polluted with all kinds of disruptions inflicted into the soil, water, and biodiversity. Conservation Agriculture (CA) is a comprehensive approach to sustainable practices that include minimum to no mechanical soil disturbance, biomass mulch soil cover, and crop species diversification, as well as other associated farming practices such as integrated crop and production management (Kassam et al., 2019). Currently, CA is practiced on all continents, in a range of agro-ecosystems, and on farms of various sizes (Friedrich et al., 2012). The adoption of CA practices resulted in better economic and productive returns as compared to traditional agricultural practices along with significant environmental benefits (Tambo & Mockshell, 2018; Kiran Kumara et al., 2020). For a few decades, maize (Zea mays L.) takes part of the component crop very promptly in the choice of the South Asian farmers in rice-based cropping system. In smallholder farming systems, CA-based rice-maize crop rotation is one of the feasible alternatives to improve crop and water productivity and farm revenue while also preserving natural resources (Jat et al., 2019) and also to attain high energy-use efficiency, biomass productivity, and bio-energetic based adult equivalent yield (Parihar et al., 2018a). It is an all-season growing crop and requires less amount of moisture.