The research aim to develop, validate and refine PLF-technologies that support a more sustainable animal production in terms of animal welfare and health, use of resources (nutrient, feed, water) and reduce the need for antibiotics.
Investigate animal-based indicators. Investigate how animals express positive and negative affective states (eg. joy, stress, frustration, pain), nutritional need, thermal and (re)productive status, as well as early signs of disease. This knowledge is the foundation for the below steps towards PLF-technologies:
Automation of indicators. Investigate the use of smart sensor technology (incl. image analysis), for continuous surveillance of indicators for welfare, health, production and for the animals’ environment.
The research provide the necessary biological knowledge to develop PLF-technologies, that:
a) guide farmers’ attention to these animals or places that require attention and change
b) enhance possibility for timely intervention (eg. inefficient growth and feed conversion, welfare and health problems)
c) allow care for individuals rather than groups
d) provide information assisting authorities in control and consumers in decision making on consumptions/use of animal products (eg. welfare labeled products).