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Added new project plant disease detection under deep learning #53
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Commits on Oct 3, 2024
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Basic project structure created and potato model added with ipynb and result graph image
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Cotton Model Added with result and result graph for testing and training accuracy and loss.
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Guava model added with ipynb result image and accuracy loss curve graph
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Grapes model ipynb added with testing image and accuracy loss curve image
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Tomato & Sugarcane Model added
Tomato and sugarcane ipynb added with result accuarcy loss curve
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Final .h5 models added whcih can be directly loaded and tested or implemented
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README.md and requirements added
README.md and requirements added with all details
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all results are combined in result.md with suitable images
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Updated result.md , Now the file contains all the results for various models and respective result screenshots and accuracy loss curve
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