Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/829 2018 2018 Bharati Vidyapeeth’s College of Engineering, New Delhi, India Akshita .. Bharati Vidyapeeth’s College of Engineering, New Delhi, India Pragati .. Bharati Vidyapeeth’s College of Engineering, New Delhi, India Priyanka .. Data Scientist ,Great Learning, India Rachna Tewani Bharati Vidyapeeth’s College of Engineering, New Delhi, India Arun Kumar .. Bharati Vidyapeeth’s College of Engineering, New Delhi, India Anurag Agrawal The population of India is over one billion. Nearly 65 percent of the population of India lives in villages with the main occupation being agriculture. The diverse climatic conditions in the country result in the production of a large number of agricultural items. Many surveys have proved that the suicide rate of farmers is proliferating over years due to the selection of the wrong crop resulting in less yield. In some areas, farmers lack information about the composition of soil and weather conditions and may choose the wrong crop to sow which results in lesser yield. Production of crops depends on geographical parameters like humidity, rainfall, and properties of soil such as pH, and NPK content. Integration of technology with agriculture helps the farmer to improve his production. The main goal of agricultural planning is to achieve the maximum yield rate of crops by using a limited number of land resources. This paper mainly focuses on recommending the appropriate crop using ML Algorithms ( Decision Tree, Naive Bayes, Random Forest ) based on soil composition and weather conditions to maximize the yield of the farm and increase the economic condition of India’s farmers. 2021 2021 57 63 10.54216/FPA.060203 https://www.americaspg.com/articleinfo/3/show/829