Automatic detection of health, welfare and productivity problems in individual animals enables rapid intervention by the farmer, reducing the risk of economic losses, excessive use of antibiotics and animal suffering. Since animals change their behaviour in response to problems or stress, it is hypothesised that the drinking behaviour of pigs can be a valid indicator of health or welfare problems. A system was designed to register drinking behaviour automatically. A High Frequency Radio Frequency Identification (HF RFID) system was placed around four nipple drinkers and 55 pigs were equipped with RFID ear tags. Validation of the HF RFID system was carried out by comparing drinking bouts derived from the RFID data with visual observations. Registrations which were too long and too short were deleted. On average, 97% of the drinking bouts observed were also registered by the RFID system. This corresponds to 99.2% of the total duration of drinking observed. However, the RFID system overestimated the number and duration of the drinking bouts by 10 and 19%, respectively. This can be corrected for by using flow meter data. Measurements of drinking behaviour of individual pigs will be used for further development of a system for early problem detection.
|Titel||Precision livestock farming applications : Making sense of sensors to support farm management, 1|
|Uitgeverij||Wageningen Academic Publishers|
|ISBN van geprinte versie||978-90-8686-268-9|
|ISBN van elektronische versie||978-90-8686-815-5|
|Status||Gepubliceerd - 2015|