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首页> 外文期刊>Australian Journal of Multi-Disciplinary Engieering >Determining the growth of pigs in commercial facilities using machine vision: On-farm and offline results
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Determining the growth of pigs in commercial facilities using machine vision: On-farm and offline results

机译:使用机器视觉确定商业设施中生猪的生长:场内和场外结果

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摘要

A vision system was developed to determine the live weight of pigs from their body measurements non-invasively. This article presents on-farm and offline results obtained from the piGUI system while estimating the weight of grower pigs. During the on-farm trial the system recorded the growth of four successive batches of grower pigs at a commercial piggery. The growth output from the system was used to demonstrate the system's potential in detecting the effect of undesirable conditions in practice. As according to the system, extreme summer temperatures may have been responsible for a decrease in the animal's activity and growth. Offline results indicated that the group average weights of the grower pigs could be estimated within 1.3 kg error and group weight deviations within 1.2 kg error. More than 65% of all the estimates of individual pigs were within 2 kg of their actual weight, while estimates greater than 5 kg error were restricted to less than 5% of all estimates.
机译:开发了视觉系统,以无创方式从猪的体格测定中确定猪的活重。本文介绍了从piGUI系统获得的农场和离线结果,同时估算了成年猪的体重。在农场试验期间,系统记录了商业猪场中连续四批生长猪的生长情况。该系统的增长输出用于证明该系统在实际中检测不良条件影响的潜力。根据该系统,夏季的极端温度可能是造成动物活动和生长下降的原因。离线结果表明,估计生长猪的平均体重在1.3公斤误差之内,而群体重量偏差在1.2公斤误差之内。个体猪的所有估计值中超过65%在其实际体重的2公斤以内,而误差大于5公斤的估计值被限制在所有估计值的5%以下。

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