智慧设施园艺研究进展与前沿热点  

Research progress and frontier hotspot of intelligent facility horticulture

作　　者：路鹏 郑文刚[2,3] 张钟莉莉 吕芯悦 史凯丽 刘长斌 LU Peng;ZHENG Wengang;ZHANG-ZHONG Lili;LYU Xinyue;SHI Kaili;LIU Changbin(College of Agricultural Engineering,Jiangsu University,Zhenjiang Jiangsu 212013,China;Intelligent Equipment Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing100097,China;Key Laboratory of Agricultural Information Software and Hardware Product Quality Testing,Ministry of Agriculture and Rural Affairs,Beijing100122,China;Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing100097,China)

机构地区：[1]江苏大学农业工程学院,江苏镇江212013 [2]北京市农林科学院智能装备技术研究中心,北京100097 [3]农业农村部农业信息软硬件产品质量检测重点实验室,北京100122 [4]北京市农林科学院信息技术研究中心,北京100097

出　　处：《农业工程》2025年第2期58-66,共9页AGRICULTURAL ENGINEERING

基　　金：国家自然科学基金项目(52379035);云南省科技厅科技计划项目(202302AE09002001);北京市农林科学院优秀青年基金项目(YXQN202304);北京市科技新星计划资助项目(20230484375)。

摘　　要：智慧设施园艺旨在将现代化技术应用于设施农业生产中,实现生产的自动化、数字化、网络化和智能化。为全面了解智慧设施园艺国内外研究动向、前沿和热点议题,采用文献计量学方法,以Web of Science中核心论文集为检索平台,依据2002—2022年智慧设施园艺领域781篇研究文献分析全球研究趋势、主要研究内容及前沿热点。结果表明,智慧设施园艺在2017年后迅速发展,2018—2022年发文量占发文总量的74.56%;总体上智慧设施园艺呈现以农学和工程学为主导的多学科交叉研究方向,发文量最多的5个国家依次为中国、美国、韩国、西班牙和意大利;我国发文量进入世界前15的机构有中国农业大学、农业农村部、中国科学院、南京农业大学和北京市农林科学院,占前15机构发文量的32.34%;聚类分析发现,智慧设施园艺研究聚焦于基于自动化技术的水肥管控和机器人作业,基于物联网监测耦合机器学习和视觉技术的作物生长监测,以及温室能源管理系统,其中计算机视觉技术作为一项涉及模式识别、图像处理和机器学习的技术,实现设施园艺作物生长监测、病虫害识别及品质监测等,是近年来智慧设施园艺研究的前沿热点。Intelligent facility horticulture aims to apply modern technology in facility agriculture production and realizes automation,di-gitalization,networking,and intellectualization of production.To comprehensively understand research trends,frontiers and hot top-ics of intelligent facility horticulture in domestic and foreign countries,bibliometrics methods and core papers retrieval platform in Web of Science were used to analyze global research trends,main research contents,and frontier hot spots from 781 research literatures in field of intelligent facilities horticulture from 2002 to 2022.Results showed that intelligent facility horticulture had developed rapidly after 2017,with several publications from 2018 to 2022 accounting for 74.56%of the total number of publications.In general,intelli-gent facility horticulture presented an interdisciplinary research direction led by agronomy and engineering,top five countries with the largest number of publications were China,the United States,South Korea,Spain,and Italy.China Agricultural University,Min-istry of Agriculture and Rural Affairs of the PRC,Chinese Academy of Sciences,Nanjing Agricultural University,and Beijing Academy of Agriculture and Forestry Sciences ranked among the world's top 15 in terms of publications,accounting for 32.34%.Through cluster analysis,intelligent facility horticulture research focused on water and fertilizer control and robotic operation based on automation technology,crop growth monitoring based on internet of things monitoring coupled with machine learning and vis-ion,and greenhouse energy management system research.Among them,computer vision was a technology involving pattern recogni-tion,image processing,and machine learning to realize crop growth monitoring,pest and disease identification,and quality monitor-ing in facility horticulture,which is a frontier hotspot in intelligent facility horticulture research.

关 键 词：智慧设施园艺 文献计量学 计算机视觉技术 智能化 智慧农业 设施农业 

分 类 号：S24[农业科学—农业电气化与自动化]