citrus-pest-disease-recognition

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citrus-pest-disease-recognition

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Citrus pest disease recognition app based on deep learning

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# Citrus-Pest-Disease-Recognition

Citrus Pest Disease Recognition Model and Android Application 🐛 
We use Convolutional Neural Network to classify citrus pests and diseases

## 1. App Demo

![demo](https://raw.githubusercontent.com/hyunwoongko/citrus-pest-disease-recognition/master/demo.gif)

## 2. Datasets

Below table represents about our citrus pest and disease dataset. We have 17 pest image ata and 7 disease image data for classification Approximately 400 to 600 images were collected for each class, of which 100 were used for model validation.

![image](https://user-images.githubusercontent.com/38183241/71361844-8eab2a80-25d7-11ea-9e1d-8331b0bab534.png)

## 3. Paper

If you use this code for your research, please cite our [papers](https://www.researchgate.net/publication/334610555_Citrus_Pests_and_Diseases_Recognition_Model_Using_Weakly_Dense_Connected_Convolution_Network).
```
@inproceedings{Citrus Pests and Diseases Recognition Model,
 title={Citrus Pests and Diseases Recognition Model Using Weakly Dense Connected Convolution Network},
 author={Xing Shuli, Marely Lee,Keun-kwang Lee},
 booktitle={Sensors},
 year={2019}
}
```

## 4. LICENSE

Copyright 2019 CBNU CS Dept, AI/Robot LAB.
    
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
    You may obtain a copy of the License at
    
    http://www.apache.org/licenses/LICENSE-2.0
    
    Unless required by applicable law or agreed to in writing, software
    distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
    limitations under the License.

citrus-pest-disease-recognition

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