subject: Botany and Plant Pathology date: 2021
10.4231/A5B3-XV27
Andres P. Cruz , Brenden Lane , Carlos Gongora-Canul , Christian D. Cruz , Da-Young Lee , Darcy E. P. Telenko , Dong-Yeop Na , Edward J. Delp , Nathan M. Kleczewski , Sriram Baireddy
06/30/2021
This dataset contains RGB images of the tar spot-infected corn leaves created for testing algorithm that uses contour analysis-based quantification of tar spot stromata.
Botany and Plant Pathology contour analysis image maize RGB imagery plant disease intensity RGB image dataset stromata detection and quantification
10.4231/SCQM-M479
Andres P. Cruz , Brenden Lane , Carlos Gongora-Canul , Christian D. Cruz , Da-Young Lee , Darcy E. P. Telenko , Dong-Yeop Na , Edward J. Delp , Mariela Fernández-Campos , Nathan M. Kleczewski , Sriram Baireddy , Stephen Goodwin
08/10/2021
This dataset contains RGB images of the tar spot-infected corn leaves created for testing algorithm that uses contour analysis-based quantification of tar spot stromata.
Botany and Plant Pathology emerging epidemic plant disease phenotyping stromata detection and quantification tar spot of corn temporal analysis
10.4231/P0Y7-3428
Carlos Gongora , Christian D Cruz , Darcy Telenko , Jian Jin , Mariela Fernandez-Campos , 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
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