欢迎您访问《智慧农业(中英文)》官方网站! English

Smart Agriculture ›› 2023, Vol. 5 ›› Issue (1): 99-110.doi: 10.12133/j.smartag.SA202205007

• 综合研究 • 上一篇    下一篇

水禽智能化养殖研究现状及发展趋势

刘又夫1(), 肖德琴1(), 周家鑫1, 卞智逸1, 招胜秋1, 黄一桂1, 王文策2   

  1. 1.华南农业大学 数学与信息学院,广东 广州 510642
    2.华南农业大学 动物科学学院,广东 广州 510642
  • 收稿日期:2022-05-20 出版日期:2023-03-30
  • 基金资助:
    国家现代农业产业技术体系建设专项(CARS-42-13)
  • 作者简介:刘又夫,博士研究生,研究方向为计算机视觉和水禽设备智能化。E-mail:lyf0313@126.com
  • 通信作者: 肖德琴,博士,教授,研究方向为物联网、农业图像视频处理。E-mail:deqinx@scau.edu.cn

Status Quo of Waterfowl Intelligent Farming Research Review and Development Trend Analysis

LIU Youfu1(), XIAO Deqin1(), ZHOU Jiaxin1, BIAN Zhiyi1, ZHAO Shengqiu1, HUANG Yigui1, WANG Wence2   

  1. 1.College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
    2.College of Animal Science, South China Agricultural University, Guangzhou 510642, China
  • Received:2022-05-20 Online:2023-03-30

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。

关键词: 智慧养殖, 水禽养殖, 智能装备, 信息采集技术, 智能管控技术, 视觉成像, 穿戴式传感器

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.

Key words: smart breeding, waterfowl farming, intelligent equipment, information collection techniques, intelligent management platform, vision imaging, wearable sensor

中图分类号: