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Machine learning-enhanced near-infrared spectroscopy for high-throughput phenotyping of sweetpotato sugars across raw and cooked states

Sweetpotato is a major root crop with high yield and nutritional benefits. However, existing methods for evaluating sugars level are inefficient, limiting the breeding and processing of high-quality varieties. This study utilized near-infrared spectroscopy (NIRS) coupled with machine learning algori...

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Hlavní autoři: Chaochen Tang, Xueying Mo, Zhimin Ma, Zhangying Wang
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2025-06-01
Edice:Journal of Agriculture and Food Research
Témata:
Sugar content
Chemometric algorithms
Modeling method
Crop breeding
Food processing
On-line přístup:http://www.sciencedirect.com/science/article/pii/S2666154325003059
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