畜禽体温自动监测技术与应用综述

    Review of automatic temperature monitoring technologies and applications in livestock and poultry

    • 摘要: 体温是畜禽生命体征最为关键的生理指标之一,其有效监测与管理对于精准评价畜禽的健康状况和生理机能状态具有不可替代的作用。研究综述了2019年以来不同体温自动监测技术在畜禽养殖中的应用现状,重点分析了侵入式、穿戴式和非接触式3种畜禽体温自动监测方法及其应用情况;展望了未来畜禽养殖中体温精准监测的发展趋势并给出针对性建议。侵入式监测准确度高、长期监测稳定,适用于需要高精度监测的科学研究;穿戴式监测操作简单,数据采集方便,适用于猪、牛等大型牲畜规模化养殖长期连续性体温监测;非接触式监测灵敏度高、无应激性,适用于畜禽动物群体化监测。非接触式体温监测有望通过制定标准化监测流程,构建融合深度学习的自动化采集体系,以及持续提升监测算法鲁棒性等举措,成为规模化养殖领域中体温精准监测技术的核心突破点。研究为畜禽体温自动监测技术的深化研究提供参考,推动畜禽养殖业向智能化、高效化方向迈进。

       

      Abstract: Core body temperature is one of the most critical physiological indicators of vital signs in livestock and poultry. Effective monitoring and regulation of body temperature is critical for accurately assessing the health and physiological status of cattle and poultry. The article outlines the present state of the use of various livestock and poultry automatic temperature monitoring systems in the sustainable growth of livestock and poultry production during the last five years. The study focuses on the invasive, wearable and non-contact techniques of automatic temperature monitoring in cattle and poultry, as well as their applications. The benefits and drawbacks of various monitoring methods in terms of data accuracy, ease of operation, real-time data, equipment stability, and animal welfare considerations were assessed using three criteria: technology, cost, and application issues. Invasive temperature monitoring is highly accurate and stable over long periods, making it ideal for scientific research that requires high-precision monitoring. However, this monitoring approach requires well-trained workers to operate, which puts a lot of pressure on the target animals, makes data exchange inconvenient, and has issues with sensor loss and displacement. Wearable monitoring is simple to use and convenient for data collection, making it highly suitable for long-term continuous temperature monitoring in large-scale livestock breeding, such as pigs and cattle. However, the monitoring location and usage method have a significant impact on the accuracy of temperature monitoring and the comfort of target animals. Non-contact monitoring is extremely sensitive and stress-free, making it ideal for grouped monitoring of cattle and poultry animals. However, the accuracy of temperature measurement in this monitoring method is heavily influenced by factors such as the external environment, equipment accuracy, testing distance, and testing area. This paper makes recommendations for the development of several ways of automatic temperature monitoring in livestock and poultry. In terms of invasive temperature monitoring, efforts should be focused on the research and development of new biocompatible materials, as well as non-invasive/minimally invasive and low-power data communication technologies, to reduce the stress response of the target animal and improve the system's overall practicality. In terms of wearable temperature monitoring, the emphasis should be on optimizing the wearing mode, conducting research on anti-interference algorithms, multi-sensor technology fusion, new energy conversion and other technologies to improve animal comfort and temperature measurement accuracy. Non-contact temperature monitoring requires improving the performance of thermal infrared sensors, conducting research on the adaptability of temperature measurement for different species and incorporating deep learning technologies to build a more accurate temperature monitoring model to improve measurement accuracy. The goal of the research is to develop convenient, efficient, low-cost and high-precision temperature measurement devices or application modes to meet the temperature-measuring needs of large-scale livestock and poultry breeding operations. Non-contact temperature monitoring, also known as thermal infrared technology, is expected to become the primary technology for accurate temperature monitoring of large-scale livestock and poultry due to its high sensitivity, absence of stress reaction, and adaptability to group monitoring. Non-contact monitoring will accelerate the transformation of the livestock and poultry industry towards an intelligent and efficient development by standardizing the monitoring process, integrating automated deep-learning collection systems, improving algorithm robustness and opening significant development opportunities. This article aims to provide reference for researchers in the field of automatic temperature monitoring for livestock and poultry, in order to promote the development of livestock and poultry farming towards a more intelligent and efficient direction.

       

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