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. |
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| 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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