Plant Disease Prediction using Deep Learning
Plant Disease Prediction using Machine Learning, This project is website based and ML model is integrated with it. User have to select the plant name like ( Apple, Blueberry, Cherry, Corn, Grape, Orange, peach, Potato, etc.) and language then user have to upload image to model and model will predict the leaf disease with description about project, Symptoms of disease, Prevention from disease. It will gave output in different languages. If they provided different image other than leaf image then it will predict unknown image.
Plant Disease Predictor, your go-to platform for safeguarding plants and crops through advanced technology. We leverage the power of Convolutional Neural Networks (CNN) to provide accurate and efficient disease diagnosis, helping farmers and gardeners identify plant ailments quickly and effectively. Our mission is to promote sustainable agriculture by offering a tool that is accessible to everyone, regardless of language. Our multilingual interface ensures that users from diverse backgrounds can utilize our platform with ease. We believe that by breaking language barriers, we can empower more individuals to take proactive
Plant Leaf Disease Detection using Image Processing Python 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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