Department of Animal Science and Aquaculture, Faculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Sensors (Basel). 2023 Aug 9;23(16):7045. doi: 10.3390/s23167045.
This technical note critically evaluates the transformative potential of Artificial Intelligence (AI) and sensor technologies in the swiftly evolving dairy livestock export industry. We focus on the novel application of the Internet of Things (IoT) in long-distance livestock transportation, particularly in livestock enumeration and identification for precise traceability. Technological advancements in identifying behavioral patterns in 'shy feeder' cows and real-time weight monitoring enhance the accuracy of long-haul livestock transportation. These innovations offer benefits such as improved animal welfare standards, reduced supply chain inaccuracies, and increased operational productivity, expanding market access and enhancing global competitiveness. However, these technologies present challenges, including individual animal customization, economic analysis, data security, privacy, technological adaptability, training, stakeholder engagement, and sustainability concerns. These challenges intertwine with broader ethical considerations around animal treatment, data misuse, and the environmental impacts. By providing a strategic framework for successful technology integration, we emphasize the importance of continuous adaptation and learning. This note underscores the potential of AI, IoT, and sensor technologies to shape the future of the dairy livestock export industry, contributing to a more sustainable and efficient global dairy sector.
本技术说明批判性地评估了人工智能 (AI) 和传感器技术在快速发展的奶制品牲畜出口行业中的变革潜力。我们重点关注物联网 (IoT) 在长途牲畜运输中的新应用，特别是在牲畜计数和精准可追溯性识别方面。在“害羞进食者”奶牛行为模式识别和实时重量监测方面的技术进步提高了长途牲畜运输的准确性。这些创新提供了诸多益处，例如提高动物福利标准、减少供应链误差以及提高运营生产力，从而扩大市场准入并增强全球竞争力。然而，这些技术也带来了一些挑战，包括个体动物定制、经济分析、数据安全、隐私、技术适应性、培训、利益相关者参与以及可持续性问题。这些挑战与更广泛的动物待遇、数据滥用和环境影响方面的伦理考虑交织在一起。通过为成功的技术整合提供战略框架，我们强调了持续适应和学习的重要性。本说明强调了 AI、IoT 和传感器技术在塑造奶制品牲畜出口行业未来方面的潜力，有助于实现更可持续和高效的全球奶制品行业。
