Non-Destructive Prediction of Anthocyanin Content of <i>Rosa chinensis</i> Petals Using Digital Images and Machine Learning Algorithms
Anthocyanins are widely found in plants and have significant functions. The accurate detection and quantitative assessment of anthocyanin content are essential to assess its functions. The anthocyanin content in plant tissues is typically quantified by wet chemistry and spectroscopic techniques. How...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-05-01
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Series: | Horticulturae |
Subjects: | |
Online Access: | https://www.mdpi.com/2311-7524/10/5/503 |