39 research outputs found

    Saisie portable de terrain : la mémoire à portée de la main

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    Les animaliers disposent aujourd’hui d’équipements leur permettant de saisir les donnĂ©es d’élevage etexpĂ©rimentales depuis le terrain, au moment de leur production. Les appareils portables de saisie utilisĂ©s peuvent ĂȘtre connectĂ©s Ă  divers pĂ©riphĂ©riques, en fonction des chantiers, mais aussi en Wi‑Fi Ă  un serveur distant. Cette connexion permet la consultation in situ d’informations, ainsi que la sĂ©curisation des donnĂ©es enregistrĂ©es. Des applications sont disponibles pour de nombreuses activitĂ©s et espĂšces animales. Ainsi l’enregistrement des mises-bas chez les petits ruminants, le suivi de la ponte des volailles, le recueil d’évĂšnements sanitaires
 sont rĂ©alisĂ©s sans saisie manuscrite, Ă  l’aide de ces Ă©quipements

    Monitoring of sow postural activity from 3D millimeter-wave radar imaging

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    International audienceThis paper presents a novel approach to monitor the postural activity of sows in farrowing pen using a millimeter-wave radar imaging system. Three-dimensional images of the scene are obtained from a 77 GHz Multiple-Input Multiple Output radar and the mechanical scanning of the radar beam. We show that the processing of radar images based on the Cell-Averaging Constant False Alarm Rate allows detecting the standing and lying postures of sows despite the electromagnetic clutter. The experimental study reported here is performed from the monitoring of 16 sows from the Large White breed for a total of 46 h. 3D positions of the sow are recorded and heatmaps of the sow locomotor activity are proposed. With few training radar data, we perform a classification of standing and laying postures with a mean balanced accuracy greater than 90%. The radar-based technique applied here in a cluttered environment inside farrowing pens may be extended to monitor pigs under other housing condition

    L'identification Ă©lectronique des animaux

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    National audienc

    Mise au point et validation d'un systÚme embarqué pour mesurer l'activité posturale des truies allaitantes

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    The objective was to develop a tool to measure sow postural activity during lactation that is kept between fences in the farrowing crate. Several sensors, placed in a single metal box, were attached to the upper part of the back of sows with a custom-built belt that passes underneath the belly, just behind the front legs. For validation of the positions predicted from sensor data, sow behavior was recorded with use of a digital camera and video records were analyzed by a single observer. Prediction ability was tested with machine learning applied to random forests for the three-axis data provided by the sensors in the X, Y and Z dimensions. When comparing information provided by three sensors, i.e. two accelerometers (sensors A and B) and an application developed for a smartphone (sensor C), one sensor detected five positions more accurately than the other two. The error rate of prediction from 30% of the data was 2.1% with sensor A, 3.1% with sensor B, and 4.8% with sensor C. Additional trials focused on the ability of sensor A to distinguish among the five positions, using five sows. Statistical sensitivity was 0.94 and 0.95 for the right and left lateral positions, respectively; 0.79 for the ventral position; 0.75 for the standing position; but only 0.33 for the sitting position (because it represented only 4% of sows’ time budget). One single axis was sufficient to detect the two lateral positions. More work is necessary to better consider factors of variations among sows and optimize the sampling rate to detect the five positions accurately
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