Crop Yield Prediction Using Machine Learning

Crop Yield Prediction Using Machine Learning

Authors- Bhima Yojitha, K.Ram Charan Teja Reddy, Chiranjeevi Althi, Kunda Venkata Chandrika, Paulraj Amulya

Abstract-This paper presents a machine learning-based system for predicting crop yield by integrating historical agricultural data, weather patterns, and soil properties. The model applies regression techniques, decision trees, and deep learning to assess key factors such as temperature, rainfall, soil nutrients, and farming methods. By utilizing real-time data processing and predictive analytics, the system provides valuable insights to assist farmers and policymakers in resource optimization and sustainable agricultural management. This approach helps reduce uncertainties, strengthen food security, and improve overall farm productivity.

DOI: /10.61463/ijset.vol.13.issue2.263