CROP YIELD PREDICTION USING DATA ANALYSIS AND ML TECHNIQUE

ABSTRACT
This Project creates ML based procedures for precise harvest yield forecast. The project presumes that the fast advances in detecting algorithm and ML methods will give practical and thorough answers for better harvest and climate state assessment and allow us for dynamic decision making. We are using few different algorithm, Random Forest and others to find out the best applicable one. Also providing an option to predict ....