Lantbruks- och trädgårdsföretagarnas egen forskningsstiftelse finansierar behovsdriven forskning för svenska förhållanden.
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Lantbruks- och trädgårdsföretagarnas egen forskningsstiftelse finansierar behovsdriven forskning för svenska förhållanden.
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Status: | Pågående |
Projektnummer: | O-17-20-978 |
Kategori: | Focus area | Food & feed |
Branschområden: | Kött |
Ansökningsår: | 2017 |
Datum för slutrapport: | 30 juni 2022 |
Huvudsökande: | Fernanda Cetrangolo Dórea |
Organisation: | Fernanda Cetrangolo Dórea |
E-postadress: | fernanda.dorea@sva.se |
Telefon: | 0738971320 |
Medsökande: | Cecilia Hultén |
Medsökande: | Jenny Frössling |
Disease and production disturbances in a herd are often silent, and may cause major losses if they remain undetected. Continuous analysis and monitoring of data already recorded at the farm level can improve profitability. This project will develop methods for monitoring trends in production and animal health indicators, and detect early signs of disease or other disturbances. The aim is to produce information that can help individual farms to avoid losses. The study will compare different methods to develop a continuous and fully automated system of analyses of production data already recorded on the farm (e.g. data on litter size/piglet mortality or feed consumption). The result is an on-farm, data-driven alarm system for disease outbreaks or other hazards. The system can also be used to monitor the farm's productivity and health. The results have the potential to be used by all producers who record similar data, and can also be adapted to other species in animal production.
Sjukdomsutbrott och produktionsstörningar är ofta smygande och så länge de förblir oupptäckta i en besättning kan det orsaka stora förluster. I det här projektet utvecklas metoder för att tidigarelägga upptäckten av trendbrott i en gårds produktion och djurhälsa. Syftet är att ta fram information som både kan hjälpa enskilda grisföretag att undvika förluster och stödja den gemensamma sjukdomsövervakningen. I studien jämförs olika metoder för att sätta upp en löpande och helt automatisk analys av data som redan registreras på gården (t.ex. uppgifter om kullstorlek/smågrisdödlighet eller foderförbrukning). Baserat på det skapas ett datadrivet gårdsanpassat larmsystem för bevakning av störningar i djurhälsa/produktion. Systemet kan även användas för att enkelt följa och få en aktuell bild av gårdens utveckling. Resultaten har potential att användas av alla grisföretag som registrerar liknande data och kan också vidareutvecklas för andra djurslag inom lantbruksnäringen.
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