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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.
Precision technologies are revolutionizing animal agriculture by enhancing the management of animal welfare and productivity. To fully realize the potential benefits of precision livestock farming (PLF), the development and application of digital technologies are needed to facilitate the responsible and sustainable intensification of livestock production over the next several decades. Importantly, the digitalization of agriculture is expected to provide collateral benefits of ensuring audibility in value chains while assuaging concerns associated with labor shortages. In this paper, we analyze the multilayered network of sensors, actuators, communication, and analytics currently in use in PLF. We analyze the various aspects of sensing, communication, networking, and intelligence on the farm leveraging dairy farms as an example system. We also discuss the potential implications of advancements in communication, robotics, and artificial intelligence on the security and welfare of animals.
Precision technologies are revolutionizing animal agriculture by enhancing the management of animal welfare and productivity. To fully realize the potential benefits of precision livestock farming (PLF), the development and application of digital technologies are needed to facilitate the responsible and sustainable intensification of livestock production over the next several decades. Importantly, the digitalization of agriculture is expected to provide collateral benefits of ensuring audibility in value chains while assuaging concerns associated with labor shortages. In this paper, we analyze the multilayered network of sensors, actuators, communication, and analytics currently in use in PLF. We analyze the various aspects of sensing, communication, networking, and intelligence on the farm leveraging dairy farms as an example system. We also discuss the potential implications of advancements in communication, robotics, and artificial intelligence on the security and welfare of animals.
摘要：
精准畜牧业（PLF）提供了一个战略解决方案，以提高大型动物集团的管理能力，在提高盈利能力的同时，效率,尽量减少与畜牧业生产系统相关的环境影响。此外,PLF有助于优化管理和监测动物福利的能力，同时为动物产品需求增长带来的全球重大挑战提供解决方案，并确保全球粮食安全。通过利用技术进步来恢复“每个动物”的方法，PLF可实现经济高效、通过在复杂的养殖系统中增强监测和控制能力，为动物提供个性化护理。为了满足全球人口的营养需求，以指数方式接近100亿人口，未来几十年可能需要动物蛋白质的密度。数字技术的开发和应用对于在未来几十年内促进畜牧业生产的负责任和可持续集约化，以最大限度地发挥PLF的潜在利益至关重要。对每只动物的实时连续监测有望实现对健康和福祉的更精确和准确的跟踪和管理。重要的是,预计农业数字化将提供附带好处，确保价值链的可审计性，同时缓解与劳动力短缺相关的担忧。尽管PLF技术的采用取得了显著进展，目前，许多关键问题限制了这些最新技术的可行性。通过自动连续监测和环境控制，PLF对牲畜管理系统的潜在好处可以通过物联网(IoT)监测和(在适当的情况下)闭环管理方法快速增强。在本文中,我们分析传感器的多层网络，执行器,通信,网络,和目前在PLF中使用的分析，以奶牛养殖为例。我们探索当前的最新技术，找出关键缺点，并提出潜在的解决方案来弥合技术和畜牧业之间的差距。此外,我们研究交流进步的潜在影响，机器人,和人工智能(AI)对健康的影响，安全,动物的福利。
