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Measuring the drinking behaviour of individual pigs housed in group using radio frequency identification (RFID)

Published online by Cambridge University Press:  11 May 2015

J. Maselyne ,
I. Adriaens ,
T. Huybrechts ,
B. De Ketelaere ,
S. Millet ,
J. Vangeyte ,
A. Van Nuffel  and
W. Saeys
J. Maselyne
Affiliation:
KU Leuven Department of Biosystems, MeBioS, Kasteelpark Arenberg 30, 3001 Leuven, Belgium Technology and Food Science Unit – Agricultural Engineering, Institute for Agricultural and Fisheries Research (ILVO), Burg. van Gansberghelaan 115 bus 1, 9820 Merelbeke, Belgium
I. Adriaens
Affiliation:
KU Leuven Department of Biosystems, MeBioS, Kasteelpark Arenberg 30, 3001 Leuven, Belgium
T. Huybrechts
Affiliation:
KU Leuven Department of Biosystems, MeBioS, Kasteelpark Arenberg 30, 3001 Leuven, Belgium
B. De Ketelaere
Affiliation:
KU Leuven Department of Biosystems, MeBioS, Kasteelpark Arenberg 30, 3001 Leuven, Belgium
S. Millet
Affiliation:
Animal Sciences Unit, Institute for Agricultural and Fisheries Research (ILVO), Scheldeweg 68, 9090 Melle, Belgium
J. Vangeyte
Affiliation:
Technology and Food Science Unit – Agricultural Engineering, Institute for Agricultural and Fisheries Research (ILVO), Burg. van Gansberghelaan 115 bus 1, 9820 Merelbeke, Belgium
A. Van Nuffel
Affiliation:
Technology and Food Science Unit – Agricultural Engineering, Institute for Agricultural and Fisheries Research (ILVO), Burg. van Gansberghelaan 115 bus 1, 9820 Merelbeke, Belgium
W. Saeys*
Affiliation:
KU Leuven Department of Biosystems, MeBioS, Kasteelpark Arenberg 30, 3001 Leuven, Belgium
*
† E-mail: [email protected]
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Abstract

Changes in the drinking behaviour of pigs may indicate health, welfare or productivity problems. Automated monitoring and analysis of drinking behaviour could allow problems to be detected, thus improving farm productivity. A high frequency radio frequency identification (HF RFID) system was designed to register the drinking behaviour of individual pigs. HF RFID antennas were placed around four nipple drinkers and connected to a reader via a multiplexer. A total of 55 growing-finishing pigs were fitted with radio frequency identification (RFID) ear tags, one in each ear. RFID-based drinking visits were created from the RFID registrations using a bout criterion and a minimum and maximum duration criterion. The HF RFID system was successfully validated by comparing RFID-based visits with visual observations and flow meter measurements based on visit overlap. Sensitivity was at least 92%, specificity 93%, precision 90% and accuracy 93%. RFID-based drinking duration had a high correlation with observed drinking duration (R 2=0.88) and water usage (R 2=0.71). The number of registrations after applying the visit criteria had an even higher correlation with the same two variables (R 2=0.90 and 0.75, respectively). There was also a correlation between number of RFID visits and number of observed visits (R 2=0.84). The system provides good quality information about the drinking behaviour of individual pigs. As health or other problems affect the pigs’ drinking behaviour, analysis of the RFID data could allow problems to be detected and signalled to the farmer. This information can help to improve the productivity and economics of the farm as well as the health and welfare of the pigs.

Keywords

pigsgroup housingdrinking behaviourradio frequency identificationvalidation
Type
Research Article
Information
animal , Volume 10 , Issue 9 , September 2016 , pp. 1557 - 1566
Copyright
© The Animal Consortium 2015 

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References

Ahmed, ST, Mun, HS, Yoe, H and Yang, CJ 2015. Monitoring of behavior using a video-recording system for recognition of Salmonella infection in experimentally infected growing pigs. Animal 9, 115–121.Google Scholar
Andersen, HML, Dybkjær, L and Herskin, MS 2014. Growing pigs’ drinking behaviour: number of visits, duration, water intake and diurnal variation. Animal 8, 1881–1888.Google Scholar
Bigelow, JA and Houpt, TR 1988. Feeding and drinking patterns in young-pigs. Physiology & Behavior 43, 99–109.Google Scholar
Junge, M, Jezierny, D, Gallmann, E and Jungbluth, T 2013. Monitoring of group housed sows based on indicators for feeding, drinking and locomotion behaviour. In Papers presented at the 6th European Conference on Precision Livestock Farming (ed. D Berckmans and J Vandermeulen), KU Leuven, Leuven, Belgium, pp. 731–736.Google Scholar
Kashiha, M, Bahr, C, Haredasht, SA, Ott, S, Moons, CPH, Niewold, TA, Ödberg, FO and Berckmans, D 2013. The automatic monitoring of pigs water use by cameras. Computers and Electronics in Agriculture 90, 164–169.Google Scholar
Kruse, S, Traulsen, I, Salau, J and Krieter, J 2011. A note on using wavelet analysis for disease detection in lactating sows. Computers and Electronics in Agriculture 77, 105–109.Google Scholar
Li, YZ, Chenard, L, Lemay, SP and Gonyou, HW 2005. Water intake and wastage at nipple drinkers by growing-finishing pigs. Journal of Animal Science 83, 1413–1422.Google Scholar
Madsen, TN and Kristensen, AR 2005. A model for monitoring the condition of young pigs by their drinking behaviour. Computers and Electronics in Agriculture 48, 138–154.CrossRefGoogle Scholar
Madsen, TN, Andersen, S and Kristensen, AR 2005. Modelling the drinking patterns of young pigs using a state space model. Computers and Electronics in Agriculture 48, 39–62.Google Scholar
Maselyne, J, Saeys, W and Van Nuffel, A 2015. Review: quantifying animal feeding behaviour with a focus on pigs. Physiology & Behavior 138, 37–51.CrossRefGoogle ScholarPubMed
Maselyne, J, Van Nuffel, A, De Ketelaere, B, Vangeyte, J, Hessel, EF, Sonck, B and Saeys, W 2014a. Range measurements of a high frequency radio frequency identification (HF RFID) system for registering feeding patterns of growing-finishing pigs. Computers and Electronics in Agriculture 108, 209–220.Google Scholar
Maselyne, J, Saeys, W, De Ketelaere, B, Mertens, K, Vangeyte, J, Hessel, EF, Millet, S and Van Nuffel, A 2014b. Validation of a high frequency radio frequency identification (HF RFID) system for registering feeding patterns of growing-finishing pigs. Computers and Electronics in Agriculture 102, 10–18.Google Scholar
Meiszberg, AM, Johnson, AK, Sadler, LJ, Carroll, JA, Dailey, JW and Krebs, N 2009. Drinking behavior in nursery pigs: determining the accuracy between an automatic water meter versus human observers. Journal of Animal Science 87, 4173–4180.Google Scholar
Mroz, Z, Jongbloed, A, Lenis, N and Vreman, K 1995. Water in pig nutrition: physiology, allowances and environmental applications. Nutrition Research Reviews 8, 137–164.CrossRefGoogle Scholar
Pluym, LM, Maes, D, Vangeyte, J, Mertens, K, Baert, J, Van Weyenberg, S, Millet, S and Van Nuffel, A 2013. Development of a system for automatic measurements of force and visual stance variables for objective lameness detection in sows: SowSIS. Biosystems Engineering 116, 64–74.CrossRefGoogle Scholar
Ruiz-Garcia, L and Lunadei, L 2011. The role of RFID in agriculture: applications, limitations and challenges. Computers and Electronics in Agriculture 79, 42–50.Google Scholar
Turner, SP, Sinclair, AG and Edwards, SA 2000. The interaction of liveweight and the degree of competition on drinking behaviour in growing pigs at different group sizes. Applied Animal Behaviour Science 67, 321–334.CrossRefGoogle ScholarPubMed
Wathes, CM, Kristensen, HH, Aerts, JM and Berckmans, D 2008. Is precision livestock farming an engineer’s daydream or nightmare, an animal’s friend or foe, and a farmer’s panacea or pitfall? Computers and Electronics in Agriculture 64, 2–10.Google Scholar
Weary, DM, Huzzey, JM and von Keyserlingk, MAG 2009. Board-invited review: using behavior to predict and identify ill health in animals. Journal of Animal Science 87, 770–777.Google Scholar