Brown-Brandl Tami M, Tao Jian
Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, Nebraska 68583, USA.
Visual Computing & Computational Media, College of Performance, Visualization & Fine Arts, Texas A&M University, College Station, Texas.
J Anim Sci. 2025 May 4. doi: 10.1093/jas/skaf138.
The increasing population and urbanization have intensified livestock production, raising concerns about sustainability, animal welfare, and disease transmission. There is a need to improve the sustainability of animal production. Precision Livestock Farming (PLF) emerges as a promising solution, utilizing sensors, Internet of Things (IoT), and data analytics to enhance animal management. Digital twins create virtual replicas of physical entities such as animals, buildings, and overall farm operations. This paper highlights the transformative potential of PLF and digital twin technology. The integration of real-time data with digital twins represents a frontier of technological innovation with the potential to transform PLF. The future of PLF looks promising with advancements in artificial intelligence (AI), machine learning (ML), blockchain, and augmented reality, which are expected to drive further innovations and enhance the capabilities of digital twins. In this review, we provide a brief overview of the current state-of-the-art developments in the field of precision livestock agriculture and highlight the potential for digital twin technologies to transform the agricultural sector.
人口增长和城市化加剧了畜牧生产，引发了人们对可持续性、动物福利和疾病传播的担忧。提高畜牧生产的可持续性很有必要。精准畜牧养殖（PLF）作为一种有前景的解决方案应运而生，它利用传感器、物联网（IoT）和数据分析来加强动物管理。数字孪生创建动物、建筑物和整个农场运营等物理实体的虚拟副本。本文强调了精准畜牧养殖和数字孪生技术的变革潜力。实时数据与数字孪生的集成代表了技术创新的前沿领域，有可能改变精准畜牧养殖。随着人工智能（AI）、机器学习（ML）、区块链和增强现实的进步，精准畜牧养殖的未来前景广阔，预计这些技术将推动进一步创新并提升数字孪生的能力。在本综述中，我们简要概述了精准畜牧农业领域当前的最新发展，并强调了数字孪生技术改变农业部门的潜力。
