Non-destructive prediction and visualization of anthocyanin content in mulberry fruits using hyperspectral imaging
Being rich in anthocyanin is one of the most important physiological traits of mulberry fruits. Efficient and non-destructive detection of anthocyanin content and distribution in fruits is important for the breeding, cultivation, harvesting and selling of them. This study aims at building a fast, no...
Main Authors: | Xunlan Li, Zhaoxin Wei, Fangfang Peng, Jianfei Liu, Guohui Han |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-03-01
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Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1137198/full |
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