农业机械学报2026，Vol.57Issue(18)：16-27,12.DOI:10.6041/j.issn.1000-1298.2026.18.002
基于"点-面-时空"多源数据融合的作物病虫害多目标决策方法
Multi-objective Decision-making Method for Crop Diseases and Pests Based on Multi-source Data Fusion of"Point-Surface-Spatiotemporal"Framework
摘要
Abstract
Aiming to address the limitations of insufficient multi-source data fusion,weak multi-model collaboration,and limited engineering applicability in intelligent crop disease and pest management,a multi-objective decision-making method based on plant electronic medical records(PEMRs)was proposed.Taking PEMRs as the core data carrier,structured,textual,and image data were integrated to construct a"point-surface-spatiotemporal"framework,enabling continuous decision support from individual diagnosis to regional analysis and spatiotemporal prediction.At the"point"level,a Shared-MMoE model was developed for structured data to jointly optimize diagnosis and prescription recommendation;a BERT-CNN model was employed for semantic diagnosis of textual data;and a lightweight image recognition model based on EfficientNet-B3 with ECA attention was constructed.In addition,a knowledge graph combined with large language models was introduced for knowledge representation and interpretable reasoning.At the"surface"level,temporal filtering and regional aggregation of PEMR data were conducted to visualize spatial disease distribution.At the"spatiotemporal"level,a KAST-Graph model was developed to predict disease trends across multiple regions.Based on these,a practical multi-objective decision-making platform for crop pest and disease management was developed as a WeChat mini-program.Experimental results showed that the structured diagnosis achieved an AUC of 96.33％,text-based diagnosis accuracy reached 93.13％,and in the validation set pest and disease recognition accuracy of 85.95％.The proposed model outperformed baseline methods in MAE,RMSE,and MAPE.The system achieved an average response time of less than 0.5 s,with a multi-modal diagnostic consistency of 94.0％.These results demonstrated that the proposed method operated stably under lightweight deployment conditions and effectively supported multi-objective decision-making in crop disease and pest management.关键词
作物病虫害/电子病历/智能诊断/数据融合/多目标决策Key words
crop diseases and pests/electronic medical records/intelligent diagnosis/data fusion/multi-objective decision making分类
信息技术与安全科学引用本文复制引用
徐畅,赵磊,温皓杰,张一丁,张领先..基于"点-面-时空"多源数据融合的作物病虫害多目标决策方法[J].农业机械学报,2026,57(18):16-27,12.基金项目
国家自然科学基金项目(62376272)和教育部学位与研究生教育发展中心2025年度主题案例项目(ZT-2510019001) （62376272）
