智能养殖:生猪行为研究及其应用
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作者单位:

1.中国科学院亚热带农业生态研究所;2.中国科学院计算机网络信息中心;3.湖南师范大学生命学院;4.中国科学院西安光学精密机械研究所;5.淮阴师范学院城市与环境学院

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基金项目:

湖南省重点领域研发计划项目(2019NK2181);中国科学院STS项目:畜禽养殖智能服务平台;中国工程院咨询研究项目(重大)(2019-ZD-5)


Intelligent breeding: The research and application of pig behavior
Author:
Affiliation:

1.Institute of Subtropical Agriculture, Chinese Academy of Sciences;2.Computer Network Information Center, Chinese Academy of Sciences;3.Animal Nutrition and Human Health Laboratory, College of Life Sciences, Hunan Normal University;4.Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences;5.College of Urban and Environmental Sciences, Huaiyin Normal University

Fund Project:

Research and Development Projects in Key Areas of Hunan Province (2019NK2181); Science and Technology Service Network Initiative of the Chinese Academy of Sciences: Intelligent Service Platform for Livestock and Poultry Breeding; Major Consulting and Research Project of the Chinese Academy of Engineering (2019-ZD-5).

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    摘要:

    信息技术与各行业的深度融合是当前全球信息化发展的显著特征,这些技术在生猪养殖中的引入推动了生猪智能养殖的发展。智能养殖已成为了生猪养殖未来发展的重要方向,其基础是生猪养殖产业链中信息数据的规模化动态收集。生猪养殖过程是联系产业链各个链条的中枢环节,对其智能控制是生猪养殖转型升级过程中的关键。作为生猪养殖过程中最具丰富信息的载体,生猪行为的动态监测数据,可作为生猪运动功能、健康状态和精神状态的重要评估依据。本文全面梳理了生猪行为的细化分类;分析了遗传、营养状态和日粮组成、养殖环境、养殖管理、健康状况等因素对生猪行为的影响;探讨了基于射频识别(RFID)和加速度等传感器、机器视觉、声音等生猪行为监测方式;提出了生猪行为监测技术规模化应用所面临的挑战。研究表明,生猪行为的监测将为生猪智能养殖提供又一有力数据抓手,可借此实时监控养殖过程中的生猪健康和福利状态,助推生猪养殖过程控制的智能化发展。

    Abstract:

    The future development of pig breeding is to carry out intelligent breeding models, which is based on the dynamic collection of the scale information of the pig breeding industry chain. The intelligent control of pig breeding process, which is the central link of pig industrial chain, is the short board that urgently needs to be strengthened in the transformation and upgrading of pig breeding in China. Pig behaviors are the most informative carrier in the breeding process, and it is an important evaluation basis for the sports function, health state and mental state of pigs. In this review, the detailed classification of pig behaviors are comprehensively sorts out. The effects on pig behaviors from heredity, nutritional status, dietary composition, breeding environment, breeding management and pig’s health status were analyzed. The pig behaviors monitoring methods based on sensors, machine vision and sound are summarized. The challenge of pig behaviors monitoring technology development is also pointed out. The monitoring of pig behavior provides another powerful data grasp for intelligent pig breeding, which can be used to real-time monitor the health and welfare status of pigs in the breeding process and will promote the development of pig breeding process intelligent control.

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引用本文

冯泽猛,张云华,贺玉敏,王荃,周脚根,叶仑,李铁军,印遇龙. 智能养殖:生猪行为研究及其应用[J]. 农业现代化研究, 2021, 42(1): 1-9
FENG Ze-meng, ZHANG Yun-hua, HE Yu-min, WANG Quan, ZHOU Jiao-gen, YE Lun, LI Tie-jun, YIN Yu-long. Intelligent breeding: The research and application of pig behavior[J]. Research of Agricultural Modernization, 2021, 42(1): 1-9

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  • 收稿日期:2020-12-30
  • 最后修改日期:2021-01-26
  • 录用日期:2021-01-26
  • 在线发布日期: 2021-01-29
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