Cotton Disease Prediction using Deep Learning
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Oct 8, 2021 - Jupyter Notebook
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cotton-disease
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Using transfer learning to predict if there exists a cotton disease in the plant or not. The best were the inceptionv3 model and the ResNet50 model and then finally made a model for the web using flask for an end-to-end deployment of this project.
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Jan 4, 2026 - Jupyter Notebook
The Cotton Disease Detection System is an AI-powered web application that helps farmers and agricultural experts identify diseases in cotton plants through image analysis.
python opencv flask computer-vision deep-learning agriculture tensorflow cnn webapp image-classification plant-pathology stripe-payments plant-disease ml-project cotton agritech resnet50 disease-detection ai-in-agriculture cotton-disease
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Jun 16, 2025 - HTML
Cotton disease detection using CNN
flask machine-learning ml cnn image-classification resnet cnn-keras cnn-classification resnet-152 cotton-disease
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Feb 13, 2025 - HTML
Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121
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Dec 22, 2023 - Jupyter Notebook
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Dec 27, 2022 - Jupyter Notebook
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Mar 5, 2022 - Jupyter Notebook
In this dataset we are provided with images that belong to 4 classes : diseased leaf , diseased plant , fresh leaf and fresh plant. The objective of this study is to create a CNN model to help us predict whether these image of the leaf/plant belong to the diseased category or the healthy category.
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Feb 18, 2021 - Jupyter Notebook
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