农业机械学报2026，Vol.57Issue(18)：1-15,61,16.DOI:10.6041/j.issn.1000-1298.2026.18.001
作物病虫害多模态智能管控技术研究进展
Research Progress in Multimodal Intelligent Management and Control Technologies for Crop Pests and Diseases
摘要
Abstract
Crop pests and diseases are characterized by complex occurrence mechanisms,multiple influencing factors,and strong spatiotemporal heterogeneity.Existing studies have mostly focused on single modalities or individual tasks,making it difficult to support the coordinated implementation of diagnosis,monitoring,early warning,and prevention-control services.Based on a review of domestic and international research progress,it systematically analyzed the key technologies for multimodal intelligent management and control of crop pests and diseases.Firstly,the occurrence mechanisms and multi-factor coupling characteristics of crop pests and diseases were summarized,and the multimodal data types and preprocessing methods were reviewed,including microscopic images,visible images,multispectral/hyperspectral images,thermal infrared images,environmental and meteorological data,remote sensing observations,farming records,and plant electronic medical records.Secondly,a"point-area-spatiotemporal"multi-scale intelligent management framework was constructed,and an overall technical framework for multimodal intelligent management and control of crop pests and diseases was further proposed.Finally,research progress was summarized in terms of point-scale intelligent identification and precise prevention-control,area-scale regional monitoring and precision operation,spatiotemporal dynamic early warning and decision-support services,and the integration and application demonstration of full-process intelligent management systems.It showed that intelligent management and control of crop pests and diseases was developing from single-task identification toward multimodal and multi-scale collaborative analysis,from traditional intelligent models toward knowledge-enhanced agricultural foundation models and agents,and from methodological research toward edge-cloud-end collaboration and robotic closed-loop services.However,significant challenges remained in data standardization,model generalization,platform collaboration,real-time control,and practical deployment.In the future,promoting multi-source heterogeneous data interconnection,knowledge-enhanced modeling,intelligent equipment collaboration,and trustworthy closed-loop service systems would provide technical support for precise,efficient,and green prevention and control of crop pests and diseases.关键词
作物病虫害/多模态智能管控/精准防治/区域监测/动态预警Key words
crop diseases and pests/multimodal intelligent control/precise prevention and treatment/regional monitoring/dynamic early warning分类
农业科技引用本文复制引用
王波,仵懿,王雪雨,徐畅,张领先..作物病虫害多模态智能管控技术研究进展[J].农业机械学报,2026,57(18):1-15,61,16.基金项目
国家自然科学基金项目(62376272、62176261)和中国高校产学研创新基金-云中大学专项(二期)课题(2024MU050) （62376272、62176261）
