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PigWise - Optimizing per-formance and welfare of fattening pigs using High Frequent Radio Identification (HF RFID) and synergistic control on individual level
Collaborative Project
Contract period:
01.09.2011
- 31.08.2013
Budget:
465000 Euro
Coordinating institution:
Department of systems of the livestock farming
The aim of the project is to develop an IT based tool that can be used to monitor performance, growth and welfare of pigs at the individual level. This tool allows detecting problems in an early stage (monitoring and decision support) and hence preventing economical losses. A broad approach will be undertaken combining an innovative individual online-monitoring system based on RFID with HF transponders, camera vision technology and software.
Accurate advanced computer-aided analysis of individual animals data enables to treat each animal as a production unit (instead of the pen or the herd), define animal based threshold values and hence develop early warning systems for potential drops in performance or potential health and consequently performance and welfare problems. For example, a pig displaying a reduced number and duration of feed visits, or even a lack of visits or too great pauses between visits, will be timely signalled and the pig farmer can intervention quickly. Also, a sudden change in activity rate may be caused by an arising lameness problem or problems with agonistic behaviours like tail biting, alerting the farmer to intervene and separate the animals that need special attention. This would mean that negative influences on animal health or economic losses can be prevented.
Collaborative Projects
Optimization of the RFID hardware and development of Camera Vision Analysis
Leading institution:
Aarhus University
Development of data integration and management procedures
Leading institution:
Istituto Superiore Mario Boella
Data Collection under two different conditions
Leading institution:
Institute for Agricultural and Fisheries Research
Development of an RFID Early Warning System based on Synergistic Control
Leading institution:
Istituto Superiore Mario Boella
Validation of the RFID based Early Warning System
Leading institution:
Department of systems of the livestock farming
Project management and dissemination
Leading institution:
Department of systems of the livestock farming
