CROP PRICE PREDICTION USING HISTORICAL DATA AND ML (KEY IJP************245)

• Uday P ,U Goutham Krishna ,Karthik Kr,Hithaishi U

Abstract

Machine learning techniques have been applied to crop price prediction, addressing the critical need for accurate forecastingin agricultural economics. By integrating historical crop price data, weather patterns, and socio-economic factors, a predictive model was developed to capture complex relationships influencing crop prices. Decision tree classifiers and other machine learning algorithms were utilized to enhance prediction accuracy.