Monitoring tar spot disease in corn at different canopy and temporal levels using aerial multispectral imaging and machine learning

Monitoring tar spot disease in corn at different canopy and temporal levels using aerial multispectral imaging and machine learning

IntroductionTar spot is a high-profile disease, causing various degrees of yield losses on corn (Zea mays L.) in several countries throughout the Americas. Disease symptoms usually appear at the lower canopy in corn fields with a history of tar spot infection, making it difficult to monitor the dise...

Full description

Bibliographic Details
Main Authors: Chongyuan Zhang, Brenden Lane, Mariela Fernández-Campos, Andres Cruz-Sancan, Da-Young Lee, Carlos Gongora-Canul, Tiffanna J. Ross, Camila R. Da Silva, Darcy E. P. Telenko, Stephen B. Goodwin, Steven R. Scofield, Sungchan Oh, Jinha Jung, C. D. Cruz
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Plant Science
Subjects:
maize
disease modeling
epidemics
fungus
phyllachora maydis
plant disease
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.1077403/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.1077403/full

Similar Items