ECO-FERTILIZATION USING ML TECHNIQUE

ECO-FERTILIZATION USING ML TECHNIQUE

RAPELLI SRIKANTH, A.SHRAVANI, Y.BALRAJ , ALURI GOPI

Department of computer science and Engineering(Data science)

 CMR Engineering College
Hyderabad, India

Abstract— Farmers often have limited control over their use of fertilizers, but they can achieve higher yields and reduce fertilizer loss with expert guidance on the best practices for fertilizer use. Rainfall volume and timing are also crucial factors in nutrient loss, with moderate rainfall at the right moment aiding nutrient penetration and dissolution, while excessive rain can increase runoff and the risk of losing important nutrients like nitrogen, phosphorus, and potassium.

To address these issues, this paper proposed a nutrient recommendation system that employs an updated version of the random forest algorithm, which is based on time-series data to predict the optimal quantity of nutrients needed for various crops based on rainfall patterns and crop fertility. By leveraging this method, farmers can improve soil fertility and reduce the potential for leaching and runoff, providing the optimum conditions for crop growth.