南京农业大学学报2026，Vol.49Issue(1)：27-41,15.DOI:10.7685/jnau.202410004
母牛发情智能化鉴定技术研究现状与展望
Research status and development of automated estrus detection technology for cows
摘要
Abstract
The reproductive performance of cows is one of the important factors affecting the development of cattle industry.Accurate identification of cow estrus is a prerequisite for breeding cows.Therefore,the development of estrus identification technology is of great significance in the cattle industry.The estrus identification system can identify the estrus behavior and physiological changes of cows,which is helpful for breeders to scientifically judge the estrus status of cows.The application of this system can effectively improve the reproductive performance of cows and increase the breeding efficiency.This paper analyzes the development and research of cattle intelligent estrus identification technology and equipment,expounds the physiological characteristics of cow estrus and the types of related intelligent estrus identification systems,and introduces the relevant technical principles and composition in detail.The current mainstream intelligent equipment of pasture at home and abroad and its application prospect in the market are expounded.Finally,the detection indexes of different estrus identification systems and their advantages and disadvantages are summarized,and the development trend of related technologies is prospected.The purpose of this paper is to provide theoretical support for the intelligent breeding of cattle and the creation of intelligent pasture,and to provide reference for the development and promotion of new productivity of cattle industry.关键词
发情检测系统/牛/智能化养殖/智慧化牧场Key words
estrus detection system/cows/intelligent breeding/smart farm分类
农业科技引用本文复制引用
王文学,左兰明,田如刚,王潇,田菁,李斌,赵濛,李慧,何云梅,赵鸿雁,苗雄..母牛发情智能化鉴定技术研究现状与展望[J].南京农业大学学报,2026,49(1):27-41,15.基金项目
内蒙古自治区重点研发和成果转化计划项目(2023YFDZ0035) （2023YFDZ0035）
"科技兴蒙"行动重点专项项目(2022EEDSKJXM012) （2022EEDSKJXM012）
内蒙古自治区重点研发成果转让计划项目(2022YFYZ0011) （2022YFYZ0011）
内蒙古自治区科技计划项目(2021GG0102) （2021GG0102）
