A study on agricultural engineering equipment in South Tamilnadu using linear regression

Economic growth in India purely depends on the Indian agricultural sector. In developing countries, mechanization of agriculture plays a vital role productivity. The research focuses identifying which farmers South Tamilnadu mostly use machinery. this paper, we have taken farmer names and mobile numbers, choice implement requirement into consideration by collecting real data through DBT portal (https://agrimachinery.nic.in). This work deals with five southern districts Tamilnadu, namely Dindigul, Madurai, Theni, Ramnad, Virudhunagar, predicted machinery is suitable for that area. linear regression model was used testing training dataset all frames to get efficient results. Prediction each frame reveals working particular specific area due different geographical features.