Modeling of flaxseed protein, oil content, linoleic acid, and lignan content prediction based on hyperspectral imaging

Protein, oil content, linoleic acid, and lignan are several key indicators for evaluating the quality of flaxseed. In order to optimize the testing methods for flaxseed’s nutritional quality and enhance the efficiency of screening high-quality flax germplasm resources, we selected 30 flaxseed specie...

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Veröffentlicht in:	Frontiers in plant science Jg. 15; S. 1344143
Hauptverfasser:	Zhu, Dongyu, Han, Junying, Liu, Chengzhong, Zhang, Jianping, Qi, Yanni
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media SA 12.02.2024 Frontiers Media S.A
Schlagworte:	Adaptive sampling Algorithms Error correction Flax flaxseed Germplasm Hyperspectral imaging Least squares method lignan Lignans Linoleic acid Nondestructive testing Nutrient content Nutrients Nutritive value oil content Oils & fats Optimization Plant Science Prediction models protein Proteins Regression Regression analysis Root-mean-square errors Seeds Software Spectrum analysis Support vector machines China linoleic acid flaxseed lignan hyperspectral imaging protein oil content
ISSN:	1664-462X, 1664-462X
Online-Zugang:	Volltext
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