This study proposes a method and device for the intelligent mobile monitoring of oestrus on a sow farm; this type of monitoring is applied in the field of sow production. A boar model that imitates the sounds, smells, and touch of real boars was built to detect the oestrus in sows after weaning. The models resulted in recognition accuracy rates of 96.12%, 98.25%, and 90.00%. The interaction times and frequencies between the sow and the bionic boar and the static behaviours of both ears during heat were further analysed. The results show that there is a strong correlation between the duration of contact between the oestrus sow and the bionic boar and the static behaviours of both ears. The average contact duration between the sows in oestrus and the bionic boars was 29.7 s/3 min, and the average duration in which the ears of the oestrus sows remained static was 41.3 s/3 min. The interactions between the sow and the bionic boar were used as the basis for judging the sow’s oestrus states. This approach can more accurately obtain the oestrus duration of a sow and provide a scientific reference for the sow’s conception time.
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机译:本研究提出了一种用于播种场上的智能移动监测的方法和装置;这种类型的监控应用于播种领域。建立了一种模仿声音,气味和触摸真正的公猪的野猪模型,以检测断奶后母猪中的发情症。该模型导致识别精度为96.12%,98.25%和90.00%。进一步分析了母猪和仿生野猪之间的相互作用时间和频率以及热量期间的两只耳朵的静态行为。结果表明,心肌母猪和仿生野猪之间的接触持续时间和两个耳朵的静态行为之间存在强烈的相关性。雌叶和仿生公猪之间的母猪之间的平均接触持续时间为29.7 s / 3分钟,即雌叶母猪的耳朵保持静止的平均持续时间为41.3 s / 3分钟。母猪和仿生野猪之间的相互作用被用作判断播种母猪的雌期性状态的基础。这种方法可以更准确地获得播种的休眠时间,并为母猪的概念时间提供科学参考。
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