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
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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Updated
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
The open source code for the paper "A Hybrid Multi-stage Model based on YOLO and Modified Inception Network for Rice Leaf Disease Analysis" Hybrid_Multi_Stage_DeepLearing_Approach
deep-neural-networks
deep-learning
detection
yolo
classification
resnet
regularization
inceptionv3
vgg19
computer-aided-detection
rice-diseases
disease-prediction
smart-agriculture
disout
riceleafdetection
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Updated
Jul 17, 2023
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