International Journal of Innovative Research in Computer and Communication Engineering

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TITLE Smart Agro – Price Forecasting using Machine Learning
ABSTRACT Agriculture forms the foundation of India’s economic structure, and anticipating crop prices is essential for improving farmers’ decision-making regarding crop choice, marketing period, and selling location. This project, titled “Crop Price Predictor,” introduces an interactive web system designed with Flask and powered by Machine Learning (Random Forest Algorithm) to forecast prices of key agricultural products. The prediction process integrates multiple parameters such as past market data, weather indicators (rainfall and temperature), time of the year, and regional factors. The application includes two separate panels — one for farmers, offering crop price forecasts, historical trend visualization, and environmental crop recommendations, and another for administrators, who can update data, retrain the prediction model, and review performance outcomes. Through structured data preprocessing and advanced learning techniques, the system delivers reliable price predictions that guide farmers toward smarter cultivation and marketing strategies.
AUTHOR PROF. DR. S. P KHANDAIT, SUDHANSHU THAKARE, SANKET YEDME3, SAMYAK GAJBHIYE, ANIKET MANVATE Guide, HOD (IT), KDK College of Engineering, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, India Department of Information Technology, KDK College of Engineering, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, India
VOLUME 177
DOI DOI: 10.15680/IJIRCCE.2025.1312002
PDF pdf/2_Smart Agro – Price Forecasting using Machine Learning.pdf
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