山东农业大学学报（自然科学版）2024，Vol.55Issue(6)：933-942,10.DOI:10.3969/j.issn.1000-2324.2024.06.015
基于目标识别及跟踪技术的母羊发情行为检测实证研究
Empirical Study on Ewe Estrus Behavior Detection Based on Target Recognition and Tracking Technology
摘要
Abstract
With the industrial application of digital intelligent monitoring technology in livestock farming,how to utilize deep machine learning techniques to deeply mine and apply monitoring video data from livestock farming,to upgrade from the current rough and low-precision identification to more precise high-precision analysis,and to delve from intuitive shallow features into complex associated deep features,has become a critical technical challenge that the current livestock environmental monitoring system urgently needs to be addressed.At present,the detection of estrus behavior in ewes mainly relies on manual observation and special wearable devices,which has the problems of large error,easy to cause stress reaction and high cost in ewes.This paper focuses on the distinctive features of estrus in ewes,which include frequent walking and decreased appetite,and selects a sheep farm in Xiaolanwo Village,Tai'an City,Shandong Province,as the experimental site,based on real-time video data recorded by the digital livestock monitoring system.Firstly,the Yolov5 object detection model is used to detect and identify estrus ewes;then,the DeepSORT target tracking algorithm is employed to obtain the real-time location of estrus ewes during feeding activities.By extracting the target's position coordinate data,Finally,a walking distance detection model and a walking main trajectory trace detection model during feeding are designed to achieve real-time and accurate detection of estrus ewes.The research provides further theoretical exploration and feasible application solutions for a reasonable grouping and precise and efficient breeding management of small groups of ewes under intensive confinement.关键词
深度学习/畜禽养殖/母羊/发情/目标跟踪Key words
Deep learning/livestock breeding/ewes/estrus/target tracking分类
农业科技引用本文复制引用
纪玉浩,王苗苗,刘成,岳训..基于目标识别及跟踪技术的母羊发情行为检测实证研究[J].山东农业大学学报（自然科学版）,2024,55(6):933-942,10.基金项目
国家自然科学基金面上项目(32171963) （32171963）
