家禽健康信息智能感知技术研究现状与展望

Research Status and Development Trends in Intelligent Perception of Information for Poultry Health

摘要:

家禽养殖业是畜牧业的重要组成，家禽的养殖方式正在向数字化和智能化迈进。精准高效地感知家禽健康信息是家禽数智化养殖的基础。人工智能技术的发展和信息采集设备的不断更新完善，为家禽健康多模态信息的感知提供了精准高效手段。本文阐述了基于图像、加速度信息、无线射频、音频等多种模态在家禽的外表形态、行为和体温3方面信息感知的研究进展。对国内外家禽健康多模态信息感知的设备和技术进行了系统分析，在此基础上总结了不同模态的感知优缺点，并结合采集设备的适用情况，对各类模态感知研究所面临的问题进行了讨论。最后从提高算法的感知精度、实时性和鲁棒性等方面指出了家禽健康信息智能感知的发展趋势。

Abstract:

Poultry farming is an important sector of animal husbandry. The farming methods are moving towards digitalization and intelligence. Accurate and efficient perception of poultry information is the foundation of smart poultry farming. The development of artificial intelligence technology has provided new opportunities. The continuous improvement of information collection equipment has also played a key role. These advancements have enabled precise and efficient perception of multimodal health information in poultry. The research progress in poultry health monitoring was reviewed. The studies were based on multiple modalities, including images, acceleration data, wireless radio frequency, and audio signals. The focus was on three aspects: external morphology, behavior, and body temperature. A systematic analysis was conducted on poultry health monitoring devices and technologies. The advantages and disadvantages of different sensing modalities were summarized. The applicability of various collection devices was considered. Challenges in current research were discussed. Finally, future trends in intelligent poultry health monitoring were outlined. The key directions included improving algorithm accuracy, real-time performance, and robustness. The research aimed to provide methods and ideas for poultry health management and the sustainable development of the poultry industry.