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:

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