摘要
猪的行为是猪健康状态的外在表现,当猪在正常的生存环境下,会表现出站立、活动、进食、饮水等正常的行为,当生存环境不适宜时,猪的行为可能出现异常。随着机器视觉、深度学习技术的发展,猪的行为识别可借助机器视觉—视频监控等方式来完成。该文就机器视觉在猪行为识别中的应用现状进行综述,展望了机器视觉在实现自动化健康养殖中的应用前景。
The pig’s behavior is the pig’s language and the external manifestation of pig’s health.Under normal environment and physiological state, pigs show normal behaviors such as resting, walking,eating and drinking. When the living environment is not suitable, pigs may behave abnormally. With the development of machine vision and deep learning technology, pig behavior recognition can be accomplished by means of machine vision video surveillance.This paper summarizes the application of machine vision in pig behavior recognition, and looks forward to the future of the application of machine vision in automated healthy breeding.
作者
字吉湖
谭利辉
赵永聚
陈小川
ZI Jihu;TAN Lihui;ZHAO Yongju;CHEN Xiaochuan(Chongqing Key Laboratory of Herbivore Science,College of Animal Science and Technology,Southwest University,Chongqing 400715,China;Chongqing Zhiluo Chuangzhi Technology Co.,Ltd,Chongqing 402460,China)
出处
《现代畜牧科技》
2022年第11期26-28,共3页
Modern Animal Husbandry Science & Technology
基金
荣昌高新区特色载体专项“基于多模型视觉识别的畜牧养殖的人工智能平台与大数据服务”(441220218)
重庆市现代山地特色高效农业产业技术体系(草食牲畜)(2022【12】号)
重庆市科企联合体种质资源收集利用与品种试验项目资助(草食牲畜)联合资助。
关键词
猪
机器视觉
行为识别
图像处理
目标检测
pig
machine vision
behavior recognition
image processing
object detection
