Plant Leaf Disease Detection and Classification using Image Processing
The Plant Leaf Disease Detection project employs neural networks to identify diseases affecting plant leaves. By analyzing leaf images, the system accurately detects signs of diseases such as blight, rust, or powdery mildew. This application aids farmers in timely disease management, preventing crop losses and ensuring agricultural sustainability. The neural network’s ability to recognize subtle patterns and variations enhances the precision of disease identification, contributing to improved crop health.
Leaf Disease Detection using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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