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基于传感器的蛋鸡健康和福利连续监测感知:蛋鸡养殖户、家禽兽医和家禽专家的观点。

Perception of laying hen farmers, poultry veterinarians, and poultry experts regarding sensor-based continuous monitoring of laying hen health and welfare.

机构信息

Vencomatic Group, 5520 AD Eersel, the Netherlands; Adaptation Physiology Group, Wageningen University & Research, 6700 AH Wageningen, the Netherlands.

Vencomatic Group, 5520 AD Eersel, the Netherlands.

出版信息

Poult Sci. 2023 May;102(5):102581. doi: 10.1016/j.psj.2023.102581. Epub 2023 Feb 13.

Abstract

Daily farm management practices play an essential role in determining and steering health, welfare and productivity of laying hen flocks. Optimal management requires expertise of farmers and coworkers, especially when hens are kept in complex, large-scale aviary systems. Relatively little sensor-based support is available to farmers, even though numerous research groups are working on developing technologies to continuously detect deviations in layer health and welfare. A survey with laying hen farmers, poultry veterinarians and poultry experts from Western Europe and Canada was conducted to identify and prioritize indicators of optimal and suboptimal laying hen health and welfare in commercial farms. The status-quo of sensor technology and the advantages, wishes, and concerns regarding sensors were additionally assessed to contribute to the future development of a predictive monitoring tool that continuously monitors laying hen health and welfare. A total of 45 stakeholders were interviewed, of which 41 filled in an online questionnaire. Although the prioritization of indicators differed between stakeholders, the majority identified the use of feed and water intake, egg production and quality, sound, activity, and movement of hens as important indicators to assess health and welfare. Currently collected (sensor) data were not used to their full potential, and stakeholders missed the integration and storage of data into one monitoring system with easy visualization tools. Most interest was observed in the use of cameras and microphones to detect deviations in health and welfare at an early stage, to reduce subjectivity of the assessment and to gain more knowledge on layer behavior. It can be concluded that these results could steer research efforts towards the development of continuous monitoring techniques, and enhance their adaptability and acceptability by stakeholders.

摘要

日常农场管理实践在决定和引导蛋鸡群体的健康、福利和生产力方面起着至关重要的作用。最佳管理需要农民和同事的专业知识,尤其是当母鸡被饲养在复杂的、大规模的鸡舍系统中时。尽管许多研究小组正在致力于开发技术以连续检测蛋鸡健康和福利的偏差,但农民相对较少获得基于传感器的支持。

对来自西欧和加拿大的蛋鸡农民、家禽兽医和家禽专家进行了一项调查,以确定和优先考虑商业农场中蛋鸡最佳和次优健康和福利的指标。此外,还评估了传感器技术的现状以及传感器的优势、愿望和关注点,以为未来开发一种连续监测蛋鸡健康和福利的预测监测工具做出贡献。共有 45 名利益相关者接受了采访,其中 41 人填写了在线问卷。尽管利益相关者对指标的优先级有所不同,但大多数人都认为饲料和水的摄入量、鸡蛋产量和质量、母鸡的声音、活动和运动是评估健康和福利的重要指标。目前收集的(传感器)数据没有充分利用,利益相关者希望将数据集成和存储到一个具有易于可视化工具的监测系统中。人们对使用摄像头和麦克风来早期检测健康和福利偏差、减少评估的主观性以及更多地了解母鸡行为最感兴趣。

可以得出结论,这些结果可以指导研究工作朝着开发连续监测技术的方向发展,并通过利益相关者提高其适应性和可接受性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebfe/10027566/83c5fa6867c2/gr1.jpg

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