摘要: 水禽养殖在向规模化、标准化与智能化方向迅速发展。智能养殖装备和信息化技术的研究与应用是促进 水禽养殖业健康持续发展的关键，对提高水禽养殖的产出效率、降低生产过程对劳动力的依赖、契合绿色环保的 发展理念以及实现高质量转型发展具有重要意义。本文重点介绍了智能化水禽棚舍的发展、水禽棚舍环境智能调 控技术，以及智能化水禽饲喂、饮水、加药消杀和自动粪污处理等智能化设备的最新研究进展。此外，还介绍了 可应用于水禽的信息采集技术现状，包括视觉成像系统、声音捕获系统和穿戴式传感器，以及智能管理技术的最 新应用进展。最后指出了水禽产业的智能化养殖所面临的困难，并对未来水禽的智能化养殖的发展和改进提出了 建议。
Abstract: Waterfowl farming in China is developing rapidly in the direction of large-scale, standardization and intelligence. The research and application of intelligent farming equipment and information technology is the key to promote the healthy and sustainable development of waterfowl farming, which is important to improve the output efficiency of waterfowl farming, reduce the reliance on labor in the production process, fit the development concept of green and environmental protection and achieve high-quality transformational development. In this paper, the latest research and inventions of intelligent waterfowl equipment, waterfowl shed environment intelligent control technology and intelligent waterfowl feeding, drinking water, dosing and disinfection and automatic manure treatment equipment were introduced. At present, compared to pigs, chickens and cattle, the intelligent equipment of waterfowl are still relatively backward. Most waterfowl houses are equipped with chicken equipment directly, lacking improvements for waterfowl. Moreover, the linkage between the equipment is poor and not integrated with the breeding mode and shed structure of waterfowl, resulting in low utilization. Therefore, there is a need to develop and improve equipment for the physiological growth characteristics of waterfowl from the perspective of their breeding welfare. In addition, the latest research advances in the application of real-time production information collection and intelligent management technologies were present. The information collection technologies included visual imaging technology, sound capture systems, and wearable sensors were present. Since the researches of ducks and geese is few, the research of poultry field, which can provide a reference for the waterfowl were also summarized. The research of information perception and processing of waterfowl is currently in its initial stage. Information collection techniques need to be further tailored to the physiological growth characteristics of waterfowl, and better deep learning models need to be established. The waterfowl management platform, taking the intelligent management platform developed by South China Agricultural University as an example were also described. Finally, the intelligent application of the waterfowl industry was pointed out, and the future trends of intelligent farming with the development of mechanized and intelligent equipment for waterfowl in China to improve the recommendations were analyzed. The current waterfowl farming is in urgent need of intelligent equipment reform and upgrading of the industry for support. In the future, intelligent equipment for waterfowl, information perception methods and control platforms are in urgent to be developed. When upgrading the industry, it is necessary to develop a development strategy that fits the current waterfowl farming model in China.