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This document summarizes research on using machine learning techniques to predict crop yields based on climate and soil factors. The researchers developed an artificial neural network model to classify crop datasets and predict optimal crop categories based on location-specific data. They collected data on climate and soil attributes from different districts in India to train and test the model. The goal was to create an accurate predictive model that considers environmental conditions to help farmers choos

Author

Sreedhar Nagavelly

Language

EN