This model applies neural networks using numpy, trained on soybean crops dataset and shows test accuracy of roughly 74%. The problem is a multi-classification and applies machine learning to agriculture.
Data taken from Kaggle: https://www.kaggle.com/fpeccia/weed-detection-in-soybean-crops
This project is licensed under the MIT License - see the LICENSE.md file for details