饲料研究2025，Vol.48Issue(24)：166-171,6.DOI:10.13557/j.cnki.issn1002-2813.2025.24.031
基于文献计量学的水产养殖智能投喂技术研究进展与趋势
Research progress and trends of intelligent feeding technology in aquaculture based on bibliometrics
摘要
Abstract
The experiment aimed to reveal the current development status,research hotspots,and development trends of intelligent feeding technology in aquaculture.By searching for relevant literature on intelligent feeding technology in aquaculture from 2015 to 2024,using 310 Chinese literature from China National Knowledge Infrastructure and 64 English literature from Web of Science(WOS)core collection as samples,CiteSpace and VOSviewer software were used to conduct quantitative and visual analysis from the dimensions of annual publication volume,core authors,research institutions,and keywords.The results showed that the number of publications in the field of intelligent feeding technology for aquaculture showed a stable growth trend from 2015 to 2024,with China having the highest number of publications.Shanghai Ocean University and Auburn University were the main research institutions,and ZHAO Dean and TIAN Changfeng were the main researchers.The breeding mode tends toward intelligence,precision,and unmanned direction,the integration of machine vision,deep learning,and the internet of things technologies for fine optimization in decision-making systems was a hot research topic in the field of technology.Large-mouth black bass,shrimp and crab,and rainbow trout were hot research subjects,net cage aquaculture and factory-based circular aquaculture were the main application scenarios.The integration of emerging technologies,the suitability of various types of aquaculture organisms,and the assembly of renewable clean energy were the main development trends in the future.The study shows that the experimental results reveal the research trends and development pathways of intelligent feeding technology in aquaculture and can provide reference for future research and application in this field.关键词
水产养殖/智能投喂/投饵机/文献计量学Key words
aquaculture/intelligent feeding/feeding machine/bibliometrics分类
农业科技引用本文复制引用
张家慧,尹子屹,李冠旭,张启宇,刘峰,王承国..基于文献计量学的水产养殖智能投喂技术研究进展与趋势[J].饲料研究,2025,48(24):166-171,6.基金项目
国家重点研发计划项目(项目编号:2023YFD2400400、2023YFD2400401) （项目编号:2023YFD2400400、2023YFD2400401）
烟台市校地融合发展项目(项目编号:2024XDRHXMPT11) （项目编号:2024XDRHXMPT11）
中国农业大学URP项目(项目编号:U2024045) （项目编号:U2024045）
