Dynamic Nondestructive Detection Models of Apple Quality in Critical Harvest Period Based on Near-Infrared Spectroscopy and Intelligent Algorithms

Guo, Z., Chen, X., Zhang, Y. et al. (5 more authors) (2024) Dynamic Nondestructive Detection Models of Apple Quality in Critical Harvest Period Based on Near-Infrared Spectroscopy and Intelligent Algorithms. Foods, 13 (11). 1698. ISSN 2304-8158

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Item Type: Article
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© 2024 by the authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: NIR spectroscopy; apple; dynamic detection; machine learning; maturity
Dates:
  • Published: 1 June 2024
  • Published (online): 28 May 2024
  • Accepted: 23 May 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Nutrition and Public Health (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 10 Jul 2024 15:25
Last Modified: 10 Jul 2024 15:25
Status: Published
Publisher: MDPI
Identification Number: 10.3390/foods13111698
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