Buller Henry, Blokhuis Harry, Lokhorst Kees, Silberberg Mathieu, Veissier Isabelle
Department of Geography, University of Exeter, Rennes Drive, Exeter EX4 4RJ, UK.
Department of Animal Environment and Health, Swedish University of Agricultural Sciences, P.O. Box 7068, 750 07 Uppsala, Sweden.
Animals (Basel). 2020 Oct 1;10(10):1779. doi: 10.3390/ani10101779.
Although there now exists a wide range of policies, instruments and regulations, in Europe and increasingly beyond, to improve and safeguard the welfare of farmed animals, there remain persistent and significant welfare issues in virtually all types of animal production systems ranging from high prevalence of lameness to limited possibilities to express natural behaviours. Protocols and indicators, such as those provided by Welfare Quality, mean that animal welfare can nowadays be regularly measured and surveyed at the farm level. However, the digital revolution in agriculture opens possibilities to quantify animal welfare using multiple sensors and data analytics. This allows daily monitoring of animal welfare at the group and individual animal level, for example, by measuring changes in behaviour patterns or physiological parameters. The present paper explores the potential for developing innovations in digital technologies to improve the management of animal welfare at the farm, during transport or at slaughter. We conclude that the innovations in Precision Livestock Farming (PLF) offer significant opportunities for a more holistic, evidence-based approach to the monitoring and surveillance of farmed animal welfare. To date, the emphasis in much PLF technologies has been on animal health and productivity. This paper argues that this emphasis should not come to define welfare. What is now needed is a coming together of industry, scientists, food chain actors, policy-makers and NGOs to develop and use the promise of PLF for the creative and effective improvement of farmed animal welfare.
尽管目前在欧洲乃至越来越多的其他地区,存在着广泛的政策、手段和法规来改善和保障养殖动物的福利,但在几乎所有类型的动物生产系统中,仍然存在持续且重大的福利问题,从跛足的高发生率到动物表达自然行为的可能性有限等问题不一而足。诸如“福利质量”所提供的那些协议和指标,意味着如今可以在农场层面定期对动物福利进行测量和调查。然而,农业领域的数字革命为利用多种传感器和数据分析来量化动物福利提供了可能性。这使得能够在群体和个体动物层面每日监测动物福利,例如,通过测量行为模式或生理参数的变化。本文探讨了开发数字技术创新以改善农场、运输过程或屠宰时动物福利管理的潜力。我们得出结论,精准畜牧养殖(PLF)方面的创新为以更全面、基于证据的方式监测和监督养殖动物福利提供了重大机遇。迄今为止,许多PLF技术一直侧重于动物健康和生产力。本文认为,这种侧重点不应成为对福利的定义。现在需要的是行业、科学家、食物链参与者、政策制定者和非政府组织共同努力,开发并利用PLF的前景,以创造性且有效地改善养殖动物福利。