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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Updated
Sep 5, 2022 - Jupyter Notebook
#
riceleafdetection
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This dataset contains 120 jpg images of disease infected rice leaves. The images are grouped into 3 classes based on the type of disease. There are 40 images in each class.
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Updated
May 19, 2024 - Jupyter Notebook
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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Updated
Jun 29, 2023 - Jupyter Notebook
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.
python deep-learning detection cnn classification indonesia image-classification inceptionv3 convolutional-neural-network rice-leaf-diseases riceleafdetection rice-leaf-detection
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Oct 12, 2023 - Jupyter Notebook
The model is used to detect rice leaf diseases and analyze their percentage
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Updated
Jan 21, 2024 - Jupyter Notebook
This project implements a convolutional neural network (CNN) for detecting rice leaf diseases. Users can upload images, and the model provides real-time predictions of the disease class along with raw prediction scores. Built using TensorFlow and Streamlit, it aims to assist farmers and agricultural specialists in managing plant health.
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Updated
Sep 22, 2024 - Jupyter Notebook
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