Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks

Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks

Wheat blast is a threat to global wheat production, and limited blast-resistant cultivars are available. The current estimations of wheat spike blast severity rely on human assessments, but this technique could have limitations. Reliable visual disease estimations paired with Red Green Blue (RGB) im...

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Bibliographic Details
Main Authors: Mariela Fernández-Campos, Yu-Ting Huang, Mohammad R. Jahanshahi, Tao Wang, Jian Jin, Darcy E. P. Telenko, Carlos Góngora-Canul, C. D. Cruz
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Plant Science
Subjects:
wheat blast
convolutional neural networks
inter-rater agreement
severity classification
plant disease phenotyping
breeding
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.673505/full

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https://www.frontiersin.org/articles/10.3389/fpls.2021.673505/full

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