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Physicochemical quality detection of wheat during hot air drying based on hyperspectral imaging combined with machine learning.

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Title: Physicochemical quality detection of wheat during hot air drying based on hyperspectral imaging combined with machine learning.
Authors: Jiao Q; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China., Wang S; College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China; Department of Biological Systems Engineering, Washington State University, 213 L.J. Smith Hall, Pullman, WA 99164-6120, USA., Guan X; College of Food Science and Engineering, Shandong Agricultural University, Taian, Shandong 271018, China., Quan X; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China., Zhang R; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China., Song Z; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China; Shandong Engineering Research Center of Agricultural Equipment Intelligentization, Tai'an, Shandong 271018, China., Liu M; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China., Wang J; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China., Cui C; Shandong Unia Agricultural Machinery Co., Ltd, Dezhou, Shandong 251100, China., Wang T; Shandong Unia Agricultural Machinery Co., Ltd, Dezhou, Shandong 251100, China., Lu Y; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China. Electronic address: lyao@sdau.edu.cn., Yan Y; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China; Shandong Engineering Research Center of Agricultural Equipment Intelligentization, Tai'an, Shandong 271018, China. Electronic address: yanyinfa@sdau.edu.cn.
Source: Food research international (Ottawa, Ont.) [Food Res Int] 2026 Jul 31; Vol. 236, pp. 119175. Date of Electronic Publication: 2026 Apr 15.
Publication Type: Journal Article
Journal Info: Publisher: Published on behalf of the Canadian Institute of Food Science and Technology by Elsevier Applied Science Country of Publication: Canada NLM ID: 9210143 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7145 (Electronic) Linking ISSN: 09639969 NLM ISO Abbreviation: Food Res Int Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Physicochemical quality detection of wheat during hot air drying based on hyperspectral imaging combined with machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Jiao+Q%22">Jiao Q</searchLink>; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China.<br /><searchLink fieldCode="AU" term="%22Wang+S%22">Wang S</searchLink>; College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China; Department of Biological Systems Engineering, Washington State University, 213 L.J. Smith Hall, Pullman, WA 99164-6120, USA.<br /><searchLink fieldCode="AU" term="%22Guan+X%22">Guan X</searchLink>; College of Food Science and Engineering, Shandong Agricultural University, Taian, Shandong 271018, China.<br /><searchLink fieldCode="AU" term="%22Quan+X%22">Quan X</searchLink>; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China.<br /><searchLink fieldCode="AU" term="%22Zhang+R%22">Zhang R</searchLink>; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China.<br /><searchLink fieldCode="AU" term="%22Song+Z%22">Song Z</searchLink>; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China; Shandong Engineering Research Center of Agricultural Equipment Intelligentization, Tai'an, Shandong 271018, China.<br /><searchLink fieldCode="AU" term="%22Liu+M%22">Liu M</searchLink>; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China.<br /><searchLink fieldCode="AU" term="%22Cui+C%22">Cui C</searchLink>; Shandong Unia Agricultural Machinery Co., Ltd, Dezhou, Shandong 251100, China.<br /><searchLink fieldCode="AU" term="%22Wang+T%22">Wang T</searchLink>; Shandong Unia Agricultural Machinery Co., Ltd, Dezhou, Shandong 251100, China.<br /><searchLink fieldCode="AU" term="%22Lu+Y%22">Lu Y</searchLink>; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China. Electronic address: lyao@sdau.edu.cn.<br /><searchLink fieldCode="AU" term="%22Yan+Y%22">Yan Y</searchLink>; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, China; Shandong Engineering Research Center of Agricultural Equipment Intelligentization, Tai'an, Shandong 271018, China. Electronic address: yanyinfa@sdau.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%229210143%22">Food research international (Ottawa, Ont.)</searchLink> [Food Res Int] 2026 Jul 31; Vol. 236, pp. 119175. <i>Date of Electronic Publication: </i>2026 Apr 15.
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