The role of artificial intelligence in enhancing non-invasive quality monitoring in fresh food products supply chains: A comprehensive review.
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| Title: | The role of artificial intelligence in enhancing non-invasive quality monitoring in fresh food products supply chains: A comprehensive review. |
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| Authors: | Mao Y; State Key Laboratory of Food Science and Resources, Jiangnan University, 214122 Wuxi, Jiangsu, China; Henan Province Strengthened Nutrition Food Engineering Research Center, Luohe Medical College, 462002 Luohe, Henan, China., Zhang M; State Key Laboratory of Food Science and Resources, Jiangnan University, 214122 Wuxi, Jiangsu, China; China General Chamber of Commerce Key Laboratory on Fresh Food Processing & Preservation, Jiangnan University, 214122 Wuxi, Jiangsu, China. Electronic address: min@jiangnan.edu.cn., Law CL; Faculty of Innovation and Technology, Taylor's University, Subang Jaya, 47500, Selangor, Malaysia., Rui L; State Key Laboratory of Food Science and Resources, Jiangnan University, 214122 Wuxi, Jiangsu, China; R&D center, Yechun Food Production and Distribution Co., Ltd., 225000 Yangzhou, Jiangsu, China. |
| Source: | Food research international (Ottawa, Ont.) [Food Res Int] 2026 May 31; Vol. 232, pp. 118927. Date of Electronic Publication: 2026 Mar 10. |
| Publication Type: | Journal Article; Review |
| 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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