Mango Disease Prediction with Neural Networks

The Mango Disease Prediction project employs neural networks to predict and diagnose diseases affecting mango trees. By analyzing images of mango leaves and fruits, the system identifies symptoms of diseases such as anthracnose or powdery mildew. The neural networks enhance the accuracy of disease prediction, enabling farmers to implement timely preventive measures and protect their mango crops. This application contributes to sustainable agriculture by optimizing disease management practices.

Software Requirements :-

1. Operating System: Win 7 or more
2. Programming Language: Python

Hardware Requirement :-

1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM