首页|期刊导航|植物保护学报|智慧植保技术体系与应用现状综述

智慧植保技术体系与应用现状综述OA

A review of smart plant protection technologies and their current applications

中文摘要英文摘要

在全球气候变化加剧与粮食安全保障需求日益凸显的背景下,农作物病虫害防控工作正面临多重挑战.智慧植保作为现代农业信息技术集成创新的重要方向,通过深度融合人工智能、物联网、遥感监测等前沿技术,构建感知-通信-决策-执行全链条智能化防控体系,为提升农业灾害治理能力提供了关键技术支撑.该文系统梳理了智慧植保的技术架构:在信息感知层面,整合多源传感器网络与卫星遥感技术实现病虫害监测多维化;在数据通信层面,构建边缘计算与云计算协同的传输处理平台以保障信息时效性;在决策执行层面,依托智能算法驱动精准施药装备与植保机器人作业.并通过典型应用场景分析,揭示了智慧植保装备在提升防治效率、减少农药用量及降低环境负荷等方面的显著效益.最后,针对技术落地面临的成本约束、数据壁垒及标准缺失等现实瓶颈,提出硬件轻量化-软件开源化-服务云端化的协同发展路径,以期为推进农业绿色转型与可持续发展提供参考.

Amid intensifying global climate change and rising concerns over food security,crop pest and disease control is confronted with multiple challenges.Smart plant protection,as a key frontier in the integrated innovation of modern agricultural information technologies,establishes an intelligent full-chain system covering perception,communication,decision-making,and execution through the deep integration of cutting-edge technologies such as artificial intelligence,Internet of Things,and remote sensing monitoring.This paper systematically reviews the technical architecture of smart plant protec-tion:at the information perception layer,multi-source sensor networks are integrated with satellite remote sensing to achieve multi-dimensional monitoring of pests and diseases;at the data communica-tion layer,an edge-cloud collaborative transmission and processing platform is constructed to ensure real-time information flow;at the decision-execution layer,intelligent algorithms are employed to power precision spraying equipment and plant protection robots.Typical application scenarios demon-strate the significant benefits of smart plant protection technologies in improving control efficiency,reducing pesticide use,and minimizing environmental impacts.Finally,practical bottlenecks such as high cost,data silos,and a lack of unified standards are discussed,and a coordinated development strategy of hardware miniaturization,software open-sourcing,and cloud-based services is proposed to provide a theoretical reference for promoting agricultural green transformation and sustainable development.

别宇辉;陈鑫;徐国威;李云龙;张小利;曹金娟;朝格敖其尔;莫仁;王耀君

中国农业大学信息与电气工程学院,北京 100083中国农业大学植物保护学院,北京 100193中国农业大学信息与电气工程学院,北京 100083北京市植物保护站,北京 100029北京市植物保护站,北京 100029北京市植物保护站,北京 100029鄂尔多斯市农牧局,内蒙古 鄂尔多斯 017200鄂尔多斯市农牧局,内蒙古 鄂尔多斯 017200中国农业大学信息与电气工程学院,北京 100083

智慧植保病虫害防控物联网人工智能

smart plant protectionpest and disease controlInternet of Thingsartificial intelligence

《植物保护学报》 2026 (1)

80-94,15

国家重点研发计划项目(2023YFD1701000,2024YFD2000805),北京市乡村振兴农业科技项目(NY2502020025)

10.13802/j.cnki.zwbhxb.2025.2025803

评论