Grete H. M. Jørgensen
Research Scientist
Biography
Education and areas of interest:
PhD within ethology with emphasis on animal environment and animal welfare. Have been working with thermoregualtion, climate, sensortechnology and animal preferences. My PhD project dealt with physical and social environment for sheep during the long indoor feeding period.
Professional qualifications:
- Experienced project leader within the NIBIO system. I have also worked for the Forskerforbundet organisation.
- Competence within data processing and statistical analysis.
- Scientific co-supervisor for several bachelor and masters students. Experience as teacher, lecturer and cesor.
- Have been publishing international papers on many different animal species.
- Themoregulation and social behaviour in horses.
- Experience with measurement of methane from ruminants (respiration chambers and the SF6 method)
- Development and testing of sensor technology for surveillance of animals both in barns and on rangeland pastures.
- Experience as project leader for several reindeer projects. For example: Stress and welfare for reindeer during handling, Health risks and hazards for reindeer herders, welfare indicators for reindeer and virtual fencing.
- Participated in several INTERREG projects. For example Animal Sense (Interreg Botnia Atlantica 2012-2019)
- Is appointed Person with special control responsibility for the animal welfare unit in NIBIO, and at the endorsed research animal facility at Tjøtta.
Abstract
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Authors
Grete H. M. JørgensenAbstract
Foredrag 3 timer undervisning for Trener 2 studenter ved Rytterforbundets utdanning
Abstract
No abstract has been registered
Division of Food Production and Society
Giving the horse a voice - Horse welfare and owner awareness
Division of Food Production and Society
Techgraze – Integrating Advanced Technologies for Enhance Grazing Practices in Norway
In Norway, a declining grazing pressure and farm abandonment have led to undesirable ecological and socio-economic outcomes. The TechGraze project aims to address these challenges by integrating Virtual Fencing (VF) and Remote Sensing (RS) technologies to enhance pasture-based livestock management.