NemaDataSet containing 3,063 microscopic images of the five species of phytonematodes with the greatest damage relevance to soybean crops.
Instructions for downloading NemaDataSet:
Step 1: Send an email to andre.abade[at]bag.ifmt.edu.br, as follows: Subject: [NEMADATASET DOWNLOAD] Body: Your name, e-mail, telephone number, organization, postal mail, purpose for which you will use the database.
Step 2: You will get an email with instructions to download.
All publications which are used the NemaDataSet, must be cited using the Bibtex entry as follow:
@article{ABADE202239,
title = {NemaNet: A convolutional neural network model for identification of soybean nematodes},
journal = {Biosystems Engineering},
volume = {213},
pages = {39-62},
year = {2022},
issn = {1537-5110},
doi = {https://doi.org/10.1016/j.biosystemseng.2021.11.016},
url = {https://www.sciencedirect.com/science/article/pii/S153751102100283X},
author = {André Abade and Lucas Faria Porto and Paulo Afonso Ferreira and Flávio {de Barros Vidal}},
keywords = {Plant disease, Phytonematodes, Plant pathogen, Plant-parasitic nematode, CNN, Deep learning} }
Shield:
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
