Early detection of health and welfare compromises through automated detection of behavioural changes in pigs.
Early detection of health and welfare compromises through automated detection of behavioural changes in pigs.
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通过自动检测猪行为变化的自动检测，对健康和福利的早期发现妥协。
DOI：
10.1016/j.tvjl.2016.09.005
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发表时间：
2016-11
影响因子：
2.2
通讯作者：
Kyriazakis, Ilias
中科院分区：
文献类型：
--
作者：
Matthews, Stephen G.;Miller, Amy L.;Clapp, James;Plotz, Thomas;Kyriazakis, Ilias
自动检测受损猪健康和福利的最新进展。回顾了五类行为。将行为映射到可用于自动检测的传感器。通过检测、监测和全自动检测行为变化，在自动化水平上取得进展。自动检测行为变化的挑战是多方面的，开发这类系统需要权衡取舍。及早发现商业养猪场的健康和福利损害对于及时干预至关重要，以提高治疗成功率，减少对福利的影响，并促进可持续的生猪生产。在亚临床和临床症状之前或伴随的行为改变可能具有诊断价值。这通常被称为疾病行为，包括进食、饮水和排出行为、社会行为以及运动和姿势的变化。这种微妙的行为变化不容易量化，需要员工进行长时间的观察，这在商业规模上是不切实际的。自动预警系统可以提供另一种选择，即用传感器客观地测量行为，以自动监测和检测行为变化。本文的目的是：(1)审查具有潜在诊断价值的行为的可量化变化；(2)随后确定可用于测量行为的传感器；以及(3)描述自动化监测和检测的进展，这可能允许捕获、测量和解释这些行为变化，从而导致商业猪舍的自动化。有多种传感器模式可用于自动测量和监测行为，这需要人类主动识别行为变化。这已被证明用于检测日常饮酒的微小偏差、进食行为的偏差、监测咳嗽和发声，以及监测热舒适性，但不包括社交行为。然而，目前的进展是在开发全自动检测系统的早期阶段，该系统不需要人类识别行为变化；例如，通过向移动电话发送自动警报。实现自动化的挑战是多方面的，在健康、福利和成本之间、在对个人和群体的分析之间、在一般行为和特定妥协行为之间进行权衡。
Recent developments in automatically detecting compromised pig health and welfare. Five categories of behaviour are reviewed. Behaviours mapped to sensors that are feasible for automated detection. Progress towards levels of automation through detection, monitoring and fully automatic detection of behavioural change. Challenges for automated detection of behavioural changes are multifaceted and require trade-offs to develop such systems. Early detection of health and welfare compromises in commercial piggeries is essential for timely intervention to enhance treatment success, reduce impact on welfare, and promote sustainable pig production. Behavioural changes that precede or accompany subclinical and clinical signs may have diagnostic value. Often referred to as sickness behaviour, this encompasses changes in feeding, drinking, and elimination behaviours, social behaviours, and locomotion and posture. Such subtle changes in behaviour are not easy to quantify and require lengthy observation input by staff, which is impractical on a commercial scale. Automated early-warning systems may provide an alternative by objectively measuring behaviour with sensors to automatically monitor and detect behavioural changes. This paper aims to: (1) review the quantifiable changes in behaviours with potential diagnostic value; (2) subsequently identify available sensors for measuring behaviours; and (3) describe the progress towards automating monitoring and detection, which may allow such behavioural changes to be captured, measured, and interpreted and thus lead to automation in commercial, housed piggeries. Multiple sensor modalities are available for automatic measurement and monitoring of behaviour, which require humans to actively identify behavioural changes. This has been demonstrated for the detection of small deviations in diurnal drinking, deviations in feeding behaviour, monitoring coughs and vocalisation, and monitoring thermal comfort, but not social behaviour. However, current progress is in the early stages of developing fully automated detection systems that do not require humans to identify behavioural changes; e.g., through automated alerts sent to mobile phones. Challenges for achieving automation are multifaceted and trade-offs are considered between health, welfare, and costs, between analysis of individuals and groups, and between generic and compromise-specific behaviours.
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影响因子：
3.5
作者：
Chapinal, N.;de Passille, A. M.;Rushen, J.
通讯作者：
Rushen, J.
影响因子：
2.3
作者：
Fernandez, Josep;Fabrega, Emma;Manteca, Xavier
通讯作者：
Manteca, Xavier
影响因子：
8.3
作者：
Eigenberg, R. A.;Brown-Brandl, T. M.;Nienaber, J. A.
通讯作者：
Nienaber, J. A.
影响因子：
1.5
作者：
Brown-Brandl, T. M.;Eigenberg, R. A.
通讯作者：
Eigenberg, R. A.
DOI：
10.1046/j.1439-0396.2001.00305.x
发表时间：
2001-04-01
期刊：
JOURNAL OF ANIMAL PHYSIOLOGY AND ANIMAL NUTRITION-ZEITSCHRIFT FUR TIERPHYSIOLOGIE TIERERNAHRUNG UND FUTTERMITTELKUNDE
影响因子：
--
作者：
Bruininx, EMAM;van der Peet-Schwering, CMC;Beynen, AC
通讯作者：
Beynen, AC