Plant Leaf Disease Detection using CNN in Deep Learning
Plant Leaf Disease Detection employs neural networks to identify and diagnose diseases affecting plant leaves, promoting early intervention and effective disease management. By analyzing images of plant leaves, the system accurately detects symptoms of diseases such as blight, rust, or powdery mildew. This application aids farmers in preserving crop health, preventing widespread infections, and optimizing agricultural practices. The neural networks’ ability to recognize subtle patterns and variations enhances the accuracy of disease detection.
Plant Disease Detection Using CNN
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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