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Code for the paper "A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images" on Computers and Electronics in Agriculture.

License: MIT License

Python 76.04% Jupyter Notebook 23.96%

ic-coffee's Introduction

A Deep Learning Approach Combining Instance and Semantic Segmentation to Identify Diseases and Pests of Coffee Leaves from In-Field Images

Code for the paper "A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images".

Paper link: Here!

How to Run

The codes in this repository are ready to be used in the Google Colab environment. Just change the paths to your own.

The networks' weights used to produce the results presented in the paper can be downloaded here.

Proposed Framework

Citation

If you use this code in your research, please cite:

@article{tassisetal-2021,
title = {A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images},
journal = {Computers and Electronics in Agriculture},
volume = {186},
pages = {106191},
year = {2021},
issn = {0168-1699},
author = {Lucas M. Tassis and João E. {Tozzi de Souza} and Renato A. Krohling},
}

ic-coffee's People

Contributors

lucastassis avatar

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