https://github.com/reshmaaiman/rice-leaf-disease-detection
https://github.com/reshmaaiman/rice-leaf-disease-detection
adam-optimizer data-science data-visualization matplotlib-pyplot numpy pandas python relu seaborn
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/reshmaaiman/rice-leaf-disease-detection
- Owner: ReshmaAiman
- Created: 2025-02-04T14:39:19.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-02-04T15:12:37.000Z (10 months ago)
- Last Synced: 2025-02-04T15:44:33.278Z (10 months ago)
- Topics: adam-optimizer, data-science, data-visualization, matplotlib-pyplot, numpy, pandas, python, relu, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 7.13 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Rice Leaf Disease Detection
### The sample file contains 119 images of rice leaves with 3 types of diseases like - Bacterial leaf blight of rice, Brown spot, Leaf smut.
### Each class of images contains arouf 39-40 images each for precise training of model.
### Python libraries used - Seaborn, matplotlib, pandas, numpy, tensorflow.
### The model gave the accuracy of 83% using activation function as Relu - therefore, performed data augmentation to improve the accuracy.
### Tried with different optimizers to check with the accuracy, finalised with the ADAM optimizer as it gives the highest accuracy of 87.50 compared to all the other optimizers.
### For checking the model performance, 100 samples were tested and the all the 100 samples were predicted accurately.
### Tried different ways for prediction like - by uploading the image from PC, by passing the URL of the image from internet.