georgemuriithi/tomato-disease-detection
This is an end-to-end project in the agricultural domain. A Convolutional Neural Network (CNN) model is trained to detect whether a tomato plant has a particular disease by using a picture of its leaf. The model can be accessed from a mobile application or a web page.
This tool helps tomato farmers quickly identify diseases in their plants. By simply taking a picture of a tomato plant leaf with a mobile app or uploading it to a webpage, you can get an immediate assessment of whether your plant has a specific disease. This helps farmers make timely, accurate decisions about treatment, reducing crop loss and the need for expensive expert consultations.
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Use this if you are a tomato farmer needing a fast and easy way to diagnose potential diseases in your crops directly from leaf images.
Not ideal if you need to diagnose diseases in crops other than tomatoes or require a tool for complex soil analysis or pest management.
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23
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8
Language
Jupyter Notebook
License
MIT
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Last pushed
Feb 01, 2024
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