Early warning tools and systems for emerging issues in food safety
| dc.creator | FAO | |
| dc.date | 2024-03-16T01:04:28Z | |
| dc.date | 2024-03-16T01:04:28Z | |
| dc.date | 2023 | |
| dc.date | 2024-02-07T11:43:26.0000000Z | |
| dc.date.accessioned | 2026-06-27T21:30:33Z | |
| dc.description | Early warning (EW) systems have a critical role in the reduction of risks from various hazards. The capability and capacity to identify early signals and emerging food safety risks, and to provide on-time EW that would allow for the mitigation of related upcoming risks have therefore become vital for national and international authorities and organizations dealing with food safety. The developments in early warning systems show a shift from reactive towards proactive systems. With the rapid development of modern systems fed by numerous, real-time and diverse data, as well as the advancements achieved in artificial intelligence and machine learning techniques, increasingly tested and validated digital methods and models have become available for food safety early warning and analysis. This technical background report enhances the awareness of the available evidence-based innovative digital tools and provides technical background information to support their use for proactive food safety early warning. | |
| dc.format | 76 p. | |
| dc.identifier | 978-92-5-138499-2 | |
| dc.identifier | https://openknowledge.fao.org/handle/20.500.14283/CC9162EN | |
| dc.identifier | http://www.fao.org/3/cc9162en/cc9162en.pdf | |
| dc.identifier.uri | http://hdl.handle.net/123456789/225117 | |
| dc.language | English | |
| dc.publisher | FAO ; | |
| dc.rights | FAO | |
| dc.title | Early warning tools and systems for emerging issues in food safety | |
| dc.title | Technical background | |
| dc.type | Book (stand-alone) |