Rapid and Non-Destructive Detection of Moisture Content in Dried Areca Nuts Based on Near-Infrared Spectroscopy Combined with Machine Learning
- DOI
- 10.3390/foods15081359
- Published
- 2026-04-14
- Container
- Foods
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/foods15081359,
title = {Rapid and Non-Destructive Detection of Moisture Content in Dried Areca Nuts Based on Near-Infrared Spectroscopy Combined with Machine Learning},
author = {Jiahui Dai and Shiping Wang and Xin Gan and Yanan Wang and Wenting Dai and Xiaoning Kang and Ling-Yan Su},
year = {2026},
journal = {Foods},
doi = {10.3390/foods15081359},
url = {https://doi.org/10.3390/foods15081359}
}RIS
TY - JOUR TI - Rapid and Non-Destructive Detection of Moisture Content in Dried Areca Nuts Based on Near-Infrared Spectroscopy Combined with Machine Learning AU - Jiahui Dai AU - Shiping Wang AU - Xin Gan AU - Yanan Wang AU - Wenting Dai AU - Xiaoning Kang AU - Ling-Yan Su PY - 2026 JO - Foods DO - 10.3390/foods15081359 UR - https://doi.org/10.3390/foods15081359 ER -
APA
Dai, J., Wang, S., Gan, X., Wang, Y., Dai, W., Kang, X., & Su, L. (2026). Rapid and Non-Destructive Detection of Moisture Content in Dried Areca Nuts Based on Near-Infrared Spectroscopy Combined with Machine Learning. Foods. https://doi.org/10.3390/foods15081359
Source records
- crossref · retrieved 2026-09-26T16:48:32.043Z