Leaf Disease Toolbox
Gianni Fenu, Francesca Maridina Malloci
University of Cagliari
This repository contains the source code of the following article:
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Fenu, G.; Malloci, F.M. Using Multi-Output Learning to Diagnose Plant Disease and Stress Severity. Complexity 2021,Article ID 6663442. https://doi.org/10.1155/2021/6663442
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Fenu, G.; Malloci, F.M. DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease. Agronomy 2021, 11, 2107. https://doi.org/10.3390/agronomy11112107
Table of Contents
Installation
Install Python (>=3.7):
$ sudo apt-get update
$ sudo apt-get install python3.7
Install all the requirements needed:
$ pip install -r https://github.com/mallociFrancesca/leaf-disease-toolbox/requirements.txt
Clone this repository:
$ git clone https://github.com/mallociFrancesca/leaf-disease-toolbox.git
Contribution
This code is provided for educational purposes.
Dataset
The DiaMOS Plant dataset used to support our findings is published at:
Citations
G. Fenu and F. M. Malloci (2021).
Using Multi-Output Learning to Diagnose Plant Disease and Stress Severity.
Complexity, 2021,https://doi.org/10.1155/2021/6663442.
Fenu, G., & Malloci, F. M. (2021).
DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease.
Agronomy, 11(11), 2107.
License
This code is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This software is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for details.
You should have received a copy of the GNU General Public License along with this source code. If not, go the following link: http://www.gnu.org/licenses/.