华南农业大学学报2024，Vol.45Issue(5)：649-660,12.DOI:10.7671/j.issn.1001-411X.202403038
基于视频分析的规模化奶牛智能监测技术研究进展
Research progress of intelligent monitoring technology for large-scale dairy cows based on video analysis
摘要
Abstract
Cow intelligent monitoring is an important link in large-scale dairy farming.Video analysis has the advantages of contactless,low-cost,and intelligent analysis,and has become a hot spot in the research of intelligent identification technology of large-scale dairy cows.Dairy cow target detection,target tracking,and the technologies of individual and behavior recognition are of great significance for large-scale dairy cow supervision.Lighting,day and night alternations,fence occlusion and mutual occlusion caused by large number of cows in complex breeding environment are serious factors affecting the intelligent monitoring of large-scale dairy cows.This paper summarized the depth models and practical application commonly used in cow intelligent monitoring.The problems and challenges faced in the current research were put forward.The analysis result showed that the attention mechanism and hybrid convolution were effective methods to improve the recognition accuracy of the model,and the lightweight modules were conducive to reducing the complexity and computation of the model.The factors that affected the current research to be practical were computational complexity,universality and accuracy.It is necessary to conduct specific analyses based on the dairy farming environment and the condition of dairy cows to continuously meet the needs of large-scale farming while applying this technology.关键词
奶牛/智能监测技术/目标检测/深度学习/机器视觉/畜牧养殖Key words
Dairy cattle/Intelligent monitoring technology/Object identification/Deep learning/Machine vision/Livestock breeding分类
农业科技引用本文复制引用
宋怀波,王云飞,邓洪兴,许兴时,温毓晨,张姝瑾..基于视频分析的规模化奶牛智能监测技术研究进展[J].华南农业大学学报,2024,45(5):649-660,12.基金项目
国家重点研发计划(2023YFD1301800) （2023YFD1301800）
国家自然科学基金(32272931) （32272931）
陕西省农业重点核心技术项目(2023NYGG005) （2023NYGG005）
