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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41895987 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The role of artificial intelligence in enhancing non-invasive quality monitoring in fresh food products supply chains: A comprehensive review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mao+Y%22">Mao Y</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Zhang+M%22">Zhang M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Law+CL%22">Law CL</searchLink>; Faculty of Innovation and Technology, Taylor's University, Subang Jaya, 47500, Selangor, Malaysia.<br /><searchLink fieldCode="AU" term="%22Rui+L%22">Rui L</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229210143%22">Food research international (Ottawa, Ont.)</searchLink> [Food Res Int] 2026 May 31; Vol. 232, pp. 118927. <i>Date of Electronic Publication: </i>2026 Mar 10. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Published+on+behalf+of+the+Canadian+Institute+of+Food+Science+and+Technology+by+Elsevier+Applied+Science%22">Published on behalf of the Canadian Institute of Food Science and Technology by Elsevier Applied Science </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>9210143 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-7145 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209639969%22">09639969 </searchLink><i>NLM ISO Abbreviation: </i>Food Res Int <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41895987 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.foodres.2026.118927 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 118927 Titles: – TitleFull: The role of artificial intelligence in enhancing non-invasive quality monitoring in fresh food products supply chains: A comprehensive review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mao Y – PersonEntity: Name: NameFull: Zhang M – PersonEntity: Name: NameFull: Law CL – PersonEntity: Name: NameFull: Rui L IsPartOfRelationships: – BibEntity: Dates: – D: 31 M: 05 Text: 2026 May 31 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1873-7145 Numbering: – Type: volume Value: 232 Titles: – TitleFull: Food research international (Ottawa, Ont.) Type: main |
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