Optimizing performance and welfare of fattening pigs using High Frequent Radio Frequency Identification (HF RFID) and synergistic control on individual level
Project information
Optimizing performance and welfare of fattening pigs using High Frequent Radio Frequency Identification (HF RFID) and synergistic control on individual levelCall: Integrated ICT and automation for sustainable agricultural production
Id: 34767
Acronym: PIGWISE
Duration:
Consortium:
| No | Partner | Contact | Country | Total 1000€ | Funded 1000€ | Funder |
|---|---|---|---|---|---|---|
| 1 Coord. | Division: Process Engineering Department of Animal Sciences Faculty of Agriculture Sciences University of Göttingen | Engel Hessel | Germany | 93.0 | 93.0 | Federal Ministry of Food and Agriculture |
| 2 | Aarhus School of Engineering Aarhus University | Torben Gregersen | Denmark | 133.8 | 133.8 | Danish AgriFish Agency Ministry of Food, Agriculture and Fisheries |
| 3 | Istituto Superiore Mario Boella | Paolo Brizzi | Italy | 139.3 | 139.3 | Ministry of Agriculture Food, Forestry & Tourism Policies |
| 4 | Porphyrio NV | Kristof Mertens | Belgium | 116.0 | 57.5 | Institute for Agricultural and Fisheries Research (ILVO) |
| 5 | Institute for Agricultural and Fisheries Research (ILVO) | Annelies Van Nuffel | Belgium | 41.0 | 41.0 | Institute for Agricultural and Fisheries Research (ILVO) |
Summary:
The aim of the project is to develop an ICT based tool for performance and welfare monitoring of pigs at the individual level. Warning signs, such as alterations in animal behaviour and some other parameters, enable an early detection of diseases or environmental related problems. Since the routinely gathering behavioural information from animals to evaluate their performance and welfare is very time-consuming for farmers, the new technologies demonstrably aid this task (Wathes et al., 2008), especially with large herds. In PIGWISE, we combine automation techniques applying them to monitor the animal’s behaviour. Therefore, the above automated monitoring and decision support will detect problems at early stage preventing bigger economic losses. PIGWISE brings a broad approach combining an innovative individual online-monitoring system, based on RFID with passive HF transponders, camera vision technology and software.