Automated monitoring of animal welfare indicators in poultry (AutoWohl)
The aim of the project was the development and the refinement of image-based systems for the automatic evaluation of welfare indicators in poultry.
In laying hens a prototype could be developed to detect plumage damage in brown hens, which can be used as an early warning system for feather pecking and cannibalism. In white hens too, a first approach was evolved. At the slaughterhouse an automated system for the assessment of the keelbone status was developed. This system was evaluated on more than 2000 laying hens and is ready for practical maturity.
For broiler chickens and turkeys, there are already established systems to record animal welfare indicators (foot pad dermatitis and hock burns) at the slaughterhouse. These systems were validated and optimized as part of the project.
In turkeys, initial approaches were developed to detect further indicators (scratches / alterations of the breast skin). Furthermore, using an automatic detection of the pecking frequency and recordings of the activity, two methods could be established, which can be applied for the early detection of cannibalism during husbandry.
In cooperation with CLK GmbH, being responsible for the technical side of the project, and the University of Veterinary Medicine Hannover, (project coordination), University of Munich München, Univerity of Applied Sciences Osnabrück, Barnstorfer Geflügelschlachterei and Heidemark GmbH
Funded by the Federal Ministry of Food and Agriculture (www.ble.de/ptble/innovationsfoerderung-bmel/)
Informationen für Anwender der automatisierten Systeme zur Sicherung einer zuverlässigen Erhebung der Tierwohlindikatoren (Handlungsempfehlungen) finden Sie hier:
Jung, L., Knierim, U., 2020. Automatische Erfassung von Brustbeinschäden bei Legehennenam Schlachthof, Universität Kassel.
Stracke, J., Spindler, B., Kemper, N., 2020. Automatische Erfassung von Fußballenveränderungen bei der Pute am Schlachthof, Tierärztliche Hochsuchule Hannover.
Louton, H., Piller, A., Erhard, M., 2020. Automatisierte Erfassung von Fußballenveränderungen beim Masthuhn am Schlachthof, Ludwig-Maximilians-Universität, München.
Louton, H., Piller, A., Erhard, M., 2020. Automatisierte Erfassung von Fersenhöckerveränderungen beim Masthuhn am Schlachthof, Ludwig-Maximilians-Universität, München.
Döhring, S., 2020. Automatisierte Erfassung des Gefiederstatus bei Legehennen im Bestand, Hochschule Osnabrück.
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Abschlussberichte