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The development of precision livestock farming which adjusts the food needsof each animal requires detailed knowledge of its behavior and particularlyphysical activity. Individual differences between animals can be observed forgroup-housed sows. Accelerometer technology offers opportunities for automaticmonitoring of animal behavior. The aim of the first step was to develop amethodology to attach the accelerometer on the sow's leg, and an algorithm toautomatically detect standing and lying posture. Accelerometers (Hobo PendantG) were put in a metal case and fastened with two cable ties on the leg of 6group-housed sows. The data loggers recorded the acceleration on one axis every20 s. Data were then validated by 9 hours of direct observations. The automaticrecording device showed data of high sensitivity (98.8%) and specificity(99.8%). Then, accelerometers were placed on 12 to 13 group-housed sows for 2to 4 consecutive days in 6 commercial farms equipped with electronic sowfeeding. On average each day, sows spent 259 minutes ($\pm$ 114) standing andchanged posture 29 ($\pm$ 12) times. The sow's standing time was repeatable dayto day. Differences between sows and herds were significant. Based onbehavioral data, 5 categories of sows were identified. This study suggests thatthe consideration of individual behavior of each animal would improve herdmanagement.

Use of accelerometers to measure physical activity of group-housed pregnant sows. Method development and use in six pig herds