The Crop Yield Prediction System uses machine learning to forecast agricultural yields and provides essential crop information. Integrating weather, soil, and historical data, it offers accurate predictions and supports models like Linear Regression, Random Forest, and Neural Networks.

Using Docker and Keras to generate competition-worthy Crop Yield Prediction Models | ISTA429 Midterm project for Team X for MCLAS2021