Machine Learning and Deep Learning-Based Crop Yield Prediction and Smart Farm Management System

A machine learning and deep learning system that predicts crop yield and supports smart farm management decisions.

A machine learning and deep learning system that predicts crop yield and supports smart farm management decisions. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want hands-on experience of the whole machine learning workflow: data collection and cleaning, feature engineering, model training and tuning, evaluation and presenting results.

The main parts are data preparation and exploration, model training and comparison of algorithms, evaluation with standard metrics, and a simple interface or API to try predictions. The reference build uses TensorFlow, Python, scikit-learn, Pandas, and Flask, with a clear project structure, setup instructions and sample data so that it can be run and extended.