GitHub topics: rice-leaf-diseases
tqHungdev0605/RiceLeafs_detection
Using ResNet50 model in deep learning to predict rice leaf diseases. Using Kaggle's "Rice Leafs" dataset
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ramhaidar/padiku-app Fork of filzarahma/padiku-app
A deep learning project for detecting and classifying rice leaf diseases using the ResNet-50 architecture. Includes data augmentation, transfer learning, and evaluation metrics such as accuracy, precision, recall, and confusion matrix. Achieves over 98% accuracy in classifying four classes: Bacterial Blight, Blast, Brown Spot, and Tungro.
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anmspro/Rice-Leaf-Disease-Prediction-System
Rice Leaf Disease Prediction System using Deep Learning, specifically leveraging the blessings of transfer learning.
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syenirasheila/Detection-of-Rice-Leaf-Disease-in-Indonesia-InceptionV3
This project aims to detect diseases on the leaves of rice plants in Indonesia using the Convolutional Neural Network (CNN) Inception V3 method to design a classification model and produce a high level of accuracy.
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PawarMukesh/RiceLeaf-Disease-Detector
The image data of rice leaf disease total 120jpg images with 3 classes [Brown spot, leaf smut, bacterial blight] and each class contain 40jpg images.
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krishan30/Plant-Health-Analyzing-System Fork of chameerawijebandara/Plant-Health-Analyzing-System
A deep learning based disease detection system for rice leaves using images.
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