CROP CULTIVATION FORECASTING USING MACHINE LEARNING

CROP CULTIVATION FORECASTING USING MACHINE LEARNING

Mr. R. Sivabalan1, Mrs. R. Surya2

1Student (MSc. Information Technology) & Rathinam College of Arts and Science.

2Assistant Professor Department of Information Technology & Rathinam College of Arts and Science.

ABSTRACT - The primary sources of income in rural India are unquestionably agriculture and its linked sectors. Another important contribution to the nation's Gross Domestic Product (GDP) is the agricultural industry. The enormous scale of the agriculture industry is a blessing for the nation. In contrast to worldwide norms, the crop output per acre is unsatisfactory. This is one of the likely reasons why India's marginal farmers commit suicide at a higher rate than other farmers. This initiative offers farmers a practical and approachable yield prediction method. Through a web application, the suggested system connects farmers. The area, the type of soil, and a few environmental characteristics are supplied by the user. The Random Forest provided the most accurate results.