Plant Leaf Disease Detection using CNN | Image Processing Projects for Final Year Students 2024
Plant Leaf Disease Detection using CNN
Farmers need to monitor their crops and detect first symptoms in order to prevent spread of that particular disease to other plants. Identifying disease through naked eye is often prone to high error rates and faulty classification. This project proposes a method that solves this issue and it helps in identifying and classifying the leaf disease by applying various convolutional neural network algorithms and image processing. The use of an automated system which can detect the plant disease can exponentially help the agronomists keep and eye on plant and ensure good plant heaths. This project developed in python.
SOFTWARE REQUIREMENTS:
• Operating system : Windows 10 / 11.
• Coding Language : Python
• Implementation: Web Framework.
• Frontend : HTML, CSS, JavaScript.
HARDWARE REQUIREMENTS:
• System : Pentium i3 Processor.
• Hard Disk : 500 GB..
• Input Devices : Keyboard, Mouse.
• Ram : 8 GB.
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🌎 Website: https://techieprojects.com/
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