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...
Saved in:
| Main Authors: | Chaochen Tang, Xueying Mo, Zhimin Ma, Zhangying Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Journal of Agriculture and Food Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666154325003059 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Technique Using Confocal Raman Spectroscopy Coupled with PLS-DA to Identify the Types of Sugar in Three Tropical Fruits
by: César R. Balcázar-Zumaeta, et al.
Published: (2024-09-01) -
Prediction of the chemical composition of Cenchrus clandestinus grass using Near Infrared Spectroscopy – NIRS
by: Rolando Barahona-Rosales, et al.
Published: (2025-06-01) -
Research progress in near-infrared spectroscopy for detecting the quality of potato crops
by: Wenjing Ren, et al.
Published: (2025-03-01) -
Application of Fourier Transform Near-Infrared Spectroscopy and Chemometrics for Quantitative Analysis of Milk of Lime (MOL) Used in the Sugar Industry
by: Radosław Michał Gruska, et al.
Published: (2025-05-01) -
Conventional Near-Infrared Spectroscopy and Hyperspectral Imaging: Similarities, Differences, Advantages, and Limitations
by: Daniel Cozzolino
Published: (2025-06-01)