Plant Disease Prediction using Machine Learning
Plant Leaf Disease Detection Project there is Android App and machine learning model by using Yolo Algorithm and it will generate model in ONEX format. Flask Framework is used to create website and server Api is integrated with android app. When we click any picture then it goes to server and server will prediction and then it will display. Login and Signup functionality through firebase Console Authentication Service. Once user open Android App of Leaf Guard then they have to upload image and it will browse to images folder where they have to select image of plant leaf then it will provide disease information like Potato Common Scab Fruit, Curative Treatment and Preventive Measures. User can also gave live input through phone front camera.
Plant Leaf Disease Detection using Image Processing
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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