Datasets

subject: disease type: dataset

Total is 4 Results
Wheat spike blast image classification using deep convolutional neural networks

10.4231/P0Y7-3428

Carlos Gongora , Christian D Cruz ORCID logo , Darcy Telenko , Jian Jin , Mariela Fernandez-Campos ORCID logo , Mohammad Jahanshahi , Tao Wang , Yuting Huang

04/30/2021

The folder includes i) a wheat spike blast image classification CNN model trained to automatically quantify and classify disease severity, ii) the generated datasets that include images of wheat spike blast severity levels under controlled...

Blast Botany and Plant Pathology CNN deep learning disease Magnaporthe oryzae plant disease phenotyping Plant phenotyping Python Wheat wheat blast

Species distribution models predict a deadly amphibian pathogen occurs in refuges from decline

10.4231/439S-DN43

Adrián García-Rodríguez , Catherine L. Searle ORCID logo , Hector H. Zumbado-Ulate ORCID logo

05/06/2020

Globally, numerous amphibian species have declined due to the introduction of the chytrid fungus Batrachochytrium dendrobatidis (Bd). In Central America, the current prevalence and infection intensity suggest that Bd infection is endemic and...

Batrachochytrium dendrobatidis biological sciences chytridiomycosis disease habitat suitability histology host qPCR

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