| dc.contributor.author | Kollias, Stefanos | |
| dc.contributor.author | Ye, Xujiong | |
| dc.contributor.author | Yu, Miao | |
| dc.contributor.author | Duan, Wenting | |
| dc.contributor.author | Leontidis, Georgios | |
| dc.contributor.author | Swainson, Mark | |
| dc.contributor.author | Pearson, Simon | |
| dc.date.accessioned | 2022-06-28T21:11:01Z | |
| dc.date.available | 2022-06-28T21:11:01Z | |
| dc.date.issued | 2022-06-22 | |
| dc.identifier.citation | Kollias , S , Ye , X , Yu , M , Duan , W , Leontidis , G , Swainson , M & Pearson , S 2022 , AI-enabled Safe and Efficient Food Supply Chain . Research Excellence Framework (REF) 2021 . < https://results2021.ref.ac.uk/impact/6399af09-1465-4629-bd02-f46b90077dc6?page=1 > | en |
| dc.identifier.other | PURE: 217640853 | |
| dc.identifier.other | PURE UUID: 30cf2c59-dcf3-47b9-b7c6-27b25abffaf4 | |
| dc.identifier.other | ORCID: /0000-0001-6671-5568/work/115134907 | |
| dc.identifier.uri | https://hdl.handle.net/2164/18757 | |
| dc.description | REF 2021 impact case | en |
| dc.description | REF 2021 impact case | en |
| dc.format.extent | 5 | |
| dc.language.iso | eng | |
| dc.publisher | Research Excellence Framework (REF) 2021 | |
| dc.rights | Officially published on REF 2021 website | en |
| dc.subject | SDG 9 - Industry, Innovation, and Infrastructure | en |
| dc.subject | SDG 8 - Decent Work and Economic Growth | en |
| dc.subject | SDG 2 - Zero Hunger | en |
| dc.subject | SDG 7 - Affordable and Clean Energy | en |
| dc.subject | Machine Learning | en |
| dc.subject | Industry | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject.lcc | QA75 | en |
| dc.title | AI-enabled Safe and Efficient Food Supply Chain | en |
| dc.type | Other | en |
| dc.contributor.institution | University of Aberdeen.Vice Principals | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.description.version | Publisher PDF | en |
| dc.identifier.url | https://results2021.ref.ac.uk/impact/6399af09-1465-4629-bd02-f46b90077dc6?page=1 | en |
