华南农业大学学报2024,Vol.45Issue(5) :661-671.DOI:10.7671/j.issn.1001-411X.202405032

肉牛智慧养殖技术研究进展

Research progress on intelligent farming techniques of beef cattle

罗西尔 卢小龙 刘庆友 崔奎青
华南农业大学学报2024,Vol.45Issue(5) :661-671.DOI:10.7671/j.issn.1001-411X.202405032

肉牛智慧养殖技术研究进展

Research progress on intelligent farming techniques of beef cattle

罗西尔 1卢小龙 1刘庆友 1崔奎青2
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作者信息

  • 1. 广东省动物分子设计与精准育种实验室,广东佛山 528225;佛山大学生命科学与工程学院,广东佛山 528225
  • 2. 佛山大学生命科学与工程学院,广东佛山 528225
  • 折叠

摘要

肉牛智慧养殖技术是肉牛养殖业由粗放型向集约型转型升级的关键技术,在提升养殖效益及管理效率上发挥越来越重要的作用.国内肉牛养殖业面临着智能化设备利用率低、养殖场管理效率低、养殖成本偏高等产业突出问题.本文从肉牛个体识别技术、智慧表型采集技术、智慧发情鉴定技术、自动化饲喂技术、疾病检测技术、以及牛舍环境监测与清洁等 6 个方面概述了当前肉牛智慧养殖技术的研究进展和现状,阐述了关键技术的应用和原理,并对今后肉牛智慧养殖技术的发展进行了展望,以期为我国肉牛养殖智慧化发展提供参考.

Abstract

Beef cattle intelligent farming technology is the key technology for the transformation and upgrading of beef cattle farming from extensive to intensive,and it plays an increasingly important role in enhancing farming efficiency and management efficiency.Domestic beef cattle farming industry faces outstanding problems such as low utilization rate of intelligent equipment,low farm management efficiency and high farming cost.This paper outlines the current research progress and status of beef cattle intelligent farming technology from six aspects,including beef cattle individual identification technology,intelligent phenotype collection technology,intelligent estrus identification technology,automated feeding technology,disease detection technology,as well as environmental monitoring and cleaning of the barn,etc.,describes the application of the key technologies and the principles,and looks forward to the future development of beef cattle intelligent farming technology,with a view to providing a reference for China's beef cattle aquaculture intelligent development.

关键词

智慧养殖/肉牛/个体识别/行为监测/环境监测

Key words

Smart farming/Beef cattle/Individual recognition/Behavioral monitoring/Environmental monitoring

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基金项目

国家重点研发计划(2023YFD2000700)

广东省季华实验室基金项目(X220991UZ230)

出版年

2024
华南农业大学学报
华南农业大学

华南农业大学学报

CSTPCDCSCD北大核心
影响因子:0.837
ISSN:1001-411X
参考文献量4
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