Hyperspectral Imaging-Based Multiple Predicting Models for Functional Component Contents in <i>Brassica juncea</i>
Partial least squares regression (PLSR) prediction models were developed using hyperspectral imaging for noninvasive detection of the five most representative functional components in <i>Brassica juncea</i> leaves: chlorophyll, carotenoid, phenolic, glucosinolate, and anthocyanin content...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
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Series: | Agriculture |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0472/12/10/1515 |