Non-Destructive Viability Discrimination for Individual <i>Scutellaria baicalensis</i> Seeds Based on High-Throughput Phenotyping and Machine Learning

Non-Destructive Viability Discrimination for Individual <i>Scutellaria baicalensis</i> Seeds Based on High-Throughput Phenotyping and Machine Learning

It is crucial to identify and select high-quality seeds for improving <i>Scutellaria baicalensis</i> yield. In this study, we present a non-destructive and accurate method for predicting <i>Scutellaria baicalensis</i> seed viability that used seed phenotypic data with machine...

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Bibliographic Details
Main Authors: Keling Tu, Ying Cheng, Cuiling Ning, Chengmin Yang, Xuehui Dong, Hailu Cao, Qun Sun
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Agriculture
Subjects:
non-destructive testing
germination prediction
hyperspectral image
machine vision
SVM
Online Access:https://www.mdpi.com/2077-0472/12/10/1616

Internet

https://www.mdpi.com/2077-0472/12/10/1616

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