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Crop Yield and Market Price Prediction System Using Machine Learning
Author Name : P. Rohith Varma, K. Lavanya, M. Vahini, M. Sasikumar, Dr. K. V. Satyanarayana
DOI: https://doi.org/10.56025/IJARESM.2026.1404260021
ABSTRACT Agriculture constitutes the foundation of food security and rural livelihoods across India and the developing world, yet farmers routinely operate under severe informational asymmetry regarding both expected crop yields and prevailing commodity market prices. This paper presents a dual-model artificial intelligence web application that addresses these twin challenges through machine learning. The system integrates two independent prediction modules into a unified Streamlit interface.