中国猪业2024,Vol.19Issue(4) :70-77.DOI:10.16174/j.issn.1673-4645.2024.04.009

母猪发情智能诊断技术及装备研究进展

Review of Research Progress in Intelligent Identification Technology and Equip-ment for Sows Estrus

孙浩铭 陈嘉辉 朱君 贾楠 李斌
中国猪业2024,Vol.19Issue(4) :70-77.DOI:10.16174/j.issn.1673-4645.2024.04.009

母猪发情智能诊断技术及装备研究进展

Review of Research Progress in Intelligent Identification Technology and Equip-ment for Sows Estrus

孙浩铭 1陈嘉辉 2朱君 3贾楠 3李斌1
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作者信息

  • 1. 北京市农林科学院智能装备技术研究中心,北京 100097;山西农业大学农业工程学院,山西太谷 030801
  • 2. 北京市农林科学院智能装备技术研究中心,北京 100097;新疆农业大学机电工程学院,新疆乌鲁木齐 830052
  • 3. 北京市农林科学院智能装备技术研究中心,北京 100097
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摘要

母猪发情智能诊断是提高繁殖效益、精确控制繁殖计划和提高养殖管理效率的重要技术手段.为系统了解当前母猪发情智能诊断技术现状、应用情况和存在问题,首先,介绍了母猪发情传统诊断方法,总结了国内外母猪发情智能诊断技术及装备的研究进展;其次,系统分析了母猪发情智能诊断技术的分类及优缺点,包括基于图像/视频识别、声音识别、传感器感知等技术;最后,针对母猪发情智能诊断技术的发展趋势提出了展望,以期为母猪智慧养殖及畜牧业的健康可持续发展提供技术参考.

Abstract

Intelligent diagnosis of estrus in pigs was an important technical means to improve reproductive efficiency,precisely control breeding programs and improve breeding management efficiency.In order to systematically understand the current status,application and problems of sows estrus intelligent diagnosis technology.Firstly,this paper introduced the traditional diagnosis methods of sows estrus and summarized the research progress of sows estrus intelligent diagnosis technology and equipment at home and abroad.And then,it systematically analyzed the classifications,advantages and disadvantages of sows estrus intelligent diagnosis technology,in-cluding the technology based on image/video recognition,sound recognition,sensor perception,etc.Finally,an outlook for the devel-opment trend of sows estrus intelligent diagnosis technology was proposed,with a view to providing technical references for pig intelli-gent breeding and the healthy and sustainable development of the animal husbandry industry.

关键词

母猪发情/智能诊断技术/图像/视频识别/声音识别/传感器感知技术

Key words

sows estrus/intelligent diagnostic technology/image/video recognition/sound recognition/sensor perception technology

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出版年

2024
中国猪业
中国农业科学院农业信息研究所

中国猪业

影响因子:0.241
ISSN:1673-4645
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