精准畜牧业研究脉络、主题演进与趋势展望OACSTPCD
Research on precision livestock farming:context,theme evolution and trend outlook
精准畜牧业应用信息技术实时监控和管理动物,改善其健康、福利、生产力和环境影响,促进畜牧业可持续发展,已成为多学科关注的重要议题.为厘清精准畜牧业研究的知识演变和热点更替情况,本研究基于 2003-2022 年Web of Science和CNKI数据库收录的相关文献数据,利用CiteSpace工具提取国家、机构、作者、关键词等信息绘制图谱,以可视化的方法展示精准畜牧业的研究进展,探测其研究的主要特征、研究脉络及热点主题.结果表明:国内外精准畜牧业研究发文数量呈增长趋势,欧美发达国家发文数量较高且国际合作密切,各国高校是研究的主要力量,Berckmans Daniel是全球研究的领军者,何东健是国内研究的有力推动者,研究主要涉及动物科学、兽医学、计算机科学、农业工程等学科;国外研究热点是智能系统和机器学习,研究方向集中在计算机视觉、机器学习和动物福利,研究前沿为动物形态;国内研究热点是物联网和机器视觉,研究方向集中在物联网、精准奶牛养殖和信息化,研究前沿包括行为识别、深度学习和目标检测.未来精准畜牧业研究应加强机构、学者间的交流与合作、注重多学科与多方法结合研究,并加强计算机视觉、机器学习、物联网、深度学习等技术的应用.
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.
姜冰;汤文洁;崔力航;包军
东北农业大学经济管理学院,黑龙江 哈尔滨 150030||东北农业大学现代农业发展研究中心,黑龙江 哈尔滨 150030东北农业大学经济管理学院,黑龙江 哈尔滨 150030
畜牧业
精准畜牧业动物福利文献计量CiteSpace
precision livestock farminganimal welfarebibliometricsCiteSpace
《畜牧与兽医》 2024 (003)
132-143 / 12
黑龙江省哲学社会科学规划一般项目(22JYB223)
评论