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特邀综述:精准动物农业的技术和系统集成——以精准奶牛养殖为例。

Invited review: integration of technologies and systems for precision animal agriculture-a case study on precision dairy farming.

机构信息

School of Engineering Technology, Purdue University, West Lafayette, IN, 47907, USA.

Department of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.

出版信息

J Anim Sci. 2023 Jan 3;101. doi: 10.1093/jas/skad206.

Abstract

Precision livestock farming (PLF) offers a strategic solution to enhance the management capacity of large animal groups, while simultaneously improving profitability, efficiency, and minimizing environmental impacts associated with livestock production systems. Additionally, PLF contributes to optimizing the ability to manage and monitor animal welfare while providing solutions to global grand challenges posed by the growing demand for animal products and ensuring global food security. By enabling a return to the "per animal" approach by harnessing technological advancements, PLF enables cost-effective, individualized care for animals through enhanced monitoring and control capabilities within complex farming systems. Meeting the nutritional requirements of a global population exponentially approaching ten billion people will likely require the density of animal proteins for decades to come. The development and application of digital technologies are critical to facilitate the responsible and sustainable intensification of livestock production over the next several decades to maximize the potential benefits of PLF. Real-time continuous monitoring of each animal is expected to enable more precise and accurate tracking and management of health and well-being. Importantly, the digitalization of agriculture is expected to provide collateral benefits of ensuring auditability in value chains while assuaging concerns associated with labor shortages. Despite notable advances in PLF technology adoption, a number of critical concerns currently limit the viability of these state-of-the-art technologies. The potential benefits of PLF for livestock management systems which are enabled by autonomous continuous monitoring and environmental control can be rapidly enhanced through an Internet of Things approach to monitoring and (where appropriate) closed-loop management. In this paper, we analyze the multilayered network of sensors, actuators, communication, networking, and analytics currently used in PLF, focusing on dairy farming as an illustrative example. We explore the current state-of-the-art, identify key shortcomings, and propose potential solutions to bridge the gap between technology and animal agriculture. Additionally, we examine the potential implications of advancements in communication, robotics, and artificial intelligence on the health, security, and welfare of animals.

摘要

精准畜牧养殖(PLF)为提高大型动物群体管理能力提供了一种战略性解决方案,同时提高了生产效率和盈利能力,并最大限度地减少了与畜牧生产系统相关的环境影响。此外,PLF 有助于优化动物福利管理和监测能力,解决动物产品需求不断增长所带来的全球重大挑战,确保全球粮食安全。通过利用技术进步回归到“个体动物”的方法,PLF 通过增强复杂养殖系统中的监测和控制能力,实现了对动物的成本效益型个性化护理。要满足全球人口以指数级增长至接近 100 亿人的营养需求,在未来几十年内,动物蛋白的密度可能仍将是必需的。开发和应用数字技术对于在未来几十年内实现畜牧生产的负责任和可持续集约化,最大限度地发挥 PLF 的潜力至关重要。对每只动物进行实时连续监测,有望实现对健康和福利的更精确和准确跟踪和管理。重要的是,农业数字化预计将提供确保价值链可审计性的附带好处,同时缓解与劳动力短缺相关的担忧。尽管在采用 PLF 技术方面取得了显著进展,但目前仍有一些关键问题限制了这些最先进技术的可行性。通过物联网方法进行监测和(在适当情况下)闭环管理,可以迅速提高 PLF 为牲畜管理系统带来的自主连续监测和环境控制的潜在效益。在本文中,我们分析了当前在 PLF 中使用的多层传感器、执行器、通信、网络和分析网络,以奶牛养殖为例进行了探讨。我们研究了当前的最新技术,确定了关键的不足之处,并提出了潜在的解决方案来弥合技术与动物农业之间的差距。此外,我们还探讨了通信、机器人技术和人工智能方面的进展对动物健康、安全和福利的潜在影响。

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