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-20-20-448 |
Kategori: | Focus area | Food & feed |
Branschområden: | Milk |
Ansökningsår: | 2020 |
Huvudsökande: | Oleksiy Guzhva |
Organisation: | Oleksiy Guzhva |
E-postadress: | oleksiy.guzhva@slu.se |
Telefon: | +46729328191 |
Medsökande: | Mikaela Lindberg |
Medsökande: | Sofia Nyman |
Our plan is to develop a simple, cheap and safe tool to estimate the body size and weight of dairy cows analysed from photographs taken with smartphones. This tool would directly contribute to increased competitiveness, good working environment and animal welfare in dairy production. It will also contribute to more sustainable dairy production by reducing the development towards larger, less feed efficient and promote more climate-friendly cows. During the development of the algorithm that will estimate the body size and weight of dairy cows, we will use neural networks, image analysis and photographs taken both by researchers and by the farmers themselves. The tool would have a vast potential to support breeding for more sustainable cows and regular follow-ups for efficient use of feed and management interventions. This digital and easily accessible solution will strengthen the competitiveness of dairy farms and the dialogue between farmer and advisors concerning individual cows.
Vår plan är att utveckla ett enkelt, billigt och säkert verktyg som skattar storlek och vikt på mjölkkor utifrån fotografier tagna med smartphones. Verktyget skulle bidra till att förbättra lönsamhet, arbetsmiljö och djurvälfärd inom mjölkproduktionen. Det skulle även bidra till en mer hållbar produktion genom att hindra utvecklingen mot större kor som är mer ineffektiva foderutnyttjare och har större klimatpåverkan. För att utveckla den algoritm som skall skatta storlek och vikt på mjölkkor kommer vi använda neurala nätverk, bildanalys och fotografier tagna av både forskare och av lantbrukare själva. Verktyget skulle kunna ha en enorm potential för att stödja ett hållbart avelsarbete och vara användbart vid uppföljningen av ett resurseffektivt nyttjande av foder, samt skötselåtgärder. Verktyget kommer att vara en digital och lättillgänglig lösning som stärker konkurrenskraften hos mjölkproducenter samt dialogen mellan lantbrukare och rådgivare om skötseln av individuella kor.
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