畜牧与兽医2024，Vol.56Issue(3)：132-143,12.
精准畜牧业研究脉络、主题演进与趋势展望
Research on precision livestock farming:context,theme evolution and trend outlook
摘要
Abstract
Precision livestock farming(PLF)applies information technology to real-time monitoring and management of animals,which can improve the health,welfare,productivity and environmental impact of individuals.PLF can enhance the sustainability of animal husband-ry and has become an important topic of multidisciplinary interest.In order to clarify the knowledge evolution and hotspot turnover of PLF re-search,this study uses CiteSpace to extract information concerning countries,institutions,authors,and keywords to draw graphs based on the PLF-related literature included in the Web of Science and the CNKI database from 2003 to 2022,to visualize the research progress in the field of PLF and to detect the main features,contexts and hot topics of research.The results show that the publications in PLF are increasing both domestically and internationally.Developed countries in Europe and America have a high number of publications and close international cooperation,and the universities in each country are the main force in this kind of research.Berckmans Daniel is the global leader in this re-search and He Dongjian is a significant driving force in domestic research.This research mainly focuses on animal science,veterinary medi-cine,computer science,and agricultural engineering.The research hotspots in foreign studies revolve around intelligent systems and machine learning.Key research areas focus on computer vision,machine learning,and animal welfare,with cutting-edge investigations centering on animal shape.Meanwhile,domestic research priorities include the Internet of Things(IoT)and machine vision.Domestic studies emphasize IoT,precision dairy farming,and information technology,with frontiers encompassing behavior recognition,deep learning,and target detec-tion.Future research on PLF should strengthen communication and cooperation among institutions and researchers,focus on multi-disciplina-ry and multi-method research,and promote application of computer vision,machine learning,IoT,and deep learning.关键词
精准畜牧业/动物福利/文献计量/CiteSpaceKey words
precision livestock farming/animal welfare/bibliometrics/CiteSpace分类
农业科技引用本文复制引用
姜冰,汤文洁,崔力航,包军..精准畜牧业研究脉络、主题演进与趋势展望[J].畜牧与兽医,2024,56(3):132-143,12.基金项目
黑龙江省哲学社会科学规划一般项目(22JYB223) （22JYB223）
