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...
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: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2022.1035379/full |
Similar Items
-
Integrating the Textural and Spectral Information of UAV Hyperspectral Images for the Improved Estimation of Rice Aboveground Biomass
by: Tianyue Xu, et al.
Published: (2022-05-01) -
Rice Yield Estimation Based on Vegetation Index and Florescence Spectral Information from UAV Hyperspectral Remote Sensing
by: Fumin Wang, et al.
Published: (2021-08-01) -
Estimating rice flower intensity using flower spectral information from unmanned aerial vehicle (UAV) hyperspectral images
by: Xiaoping Yao, et al.
Published: (2023-08-01) -
Fast Determination of Amylose Content in Lotus Seeds Based on Hyperspectral Imaging
by: Xuan Wei, et al.
Published: (2023-08-01) -
The Role of Amylose in Gel Forming of Rice Flour
by: Jinmu Tian, et al.
Published: (2023-03-01)