Leaf Disease Detection with Neural Networks
Potato Leaf Disease Detection using Image Processing, It’s Android App based project developed using Java and Android. Where user can upload image or it works through phone camera where it will scan that plant leaf and provide the disease information, cause, description, treatment and preventive measures.
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.
Plant Leaf Disease Detection App Project with Source Code
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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