Identification of Bacterial Blight Resistant Rice Seeds Using Terahertz Imaging and Hyperspectral Imaging Combined With Convolutional Neural Network

Identification of Bacterial Blight Resistant Rice Seeds Using Terahertz Imaging and Hyperspectral Imaging Combined With Convolutional Neural Network

Because bacterial blight (BB) disease seriously affects the yield and quality of rice, breeding BB resistant rice is an important priority for plant breeders but the process is time-consuming. The feasibility of using terahertz imaging technology and near-infrared hyperspectral imaging technology to...

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Bibliographic Details
Main Authors: Jinnuo Zhang, Yong Yang, Xuping Feng, Hongxia Xu, Jianping Chen, Yong He
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Plant Science
Subjects:
terahertz imaging technology
near-infrared hyperspectral imaging technology
rice bacterial blight
convolutional neural network
seed identification
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2020.00821/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2020.00821/full

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