Contour-Based Detection and Quantification of Tar Spot Stromata Using Red-Green-Blue (RGB) Imagery

Contour-Based Detection and Quantification of Tar Spot Stromata Using Red-Green-Blue (RGB) Imagery

Quantifying symptoms of tar spot of corn has been conducted through visual-based estimations of the proportion of leaf area covered by the pathogenic structures generated by Phyllachora maydis (stromata). However, this traditional approach is costly in terms of time and labor, as well as prone to hu...

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Bibliographic Details
Main Authors: Da-Young Lee, Dong-Yeop Na, Carlos Góngora-Canul, Sriram Baireddy, Brenden Lane, Andres P. Cruz, Mariela Fernández-Campos, Nathan M. Kleczewski, Darcy E. P. Telenko, Stephen B. Goodwin, Edward J. Delp, C. D. Cruz
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Plant Science
Subjects:
contour-based image segmentation
stromata detection
plant disease quantification
tar spot of corn
contour analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.675975/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2021.675975/full

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