Near-infrared Spectroscopy and Hyperspectral Imaging for Sugar Content Evaluation in Potatoes over Multiple Growing Seasons

Rady, A.M., Guyer, D.E. and Watson, N.J. orcid.org/0000-0001-5216-4873 (2021) Near-infrared Spectroscopy and Hyperspectral Imaging for Sugar Content Evaluation in Potatoes over Multiple Growing Seasons. Food Analytical Methods, 14 (3). pp. 581-595. ISSN 1936-9751

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Item Type: Article
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© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Potatoes; Optical; Sugars; Evaluation; Multi-sensor data fusion; Machine learning
Dates:
  • Published: March 2021
  • Published (online): 28 October 2020
  • Accepted: 12 October 2020
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: 12 Jul 2024 09:18
Last Modified: 12 Jul 2024 09:18
Status: Published
Publisher: Springer
Identification Number: 10.1007/s12161-020-01886-1
Open Archives Initiative ID (OAI ID):

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