Non-destructive monitoring of amylose content in rice by UAV-based hyperspectral images

Non-destructive monitoring of amylose content in rice by UAV-based hyperspectral images

Amylose content (AC) is an important indicator for rice quality grading. The rapid development of unmanned aerial vehicle (UAV) technology provides rich spectral and spatial information on observed objects, making non-destructive monitoring of crop quality possible. To test the potential of UAV-base...

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Bibliographic Details
Main Authors: Fumin Wang, Qiuxiang Yi, Lili Xie, Xiaoping Yao, Jueyi Zheng, Tianyue Xu, Jiale Li, Siting Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Plant Science
Subjects:
amylose content
rice
UAV-based hyperspectral images
spectral variables
textural measures
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.1035379/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.1035379/full

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