基于无人机多光谱影像的烟田智慧管理应用与挑战

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中图分类号：S572；S126 文献标识码：A文章编号：1007-5119（2025）04-0098-09

Abstract：Withthe adventofAgriculture 4.0，flue-cured tobaccocultivation is moving towards thedevelopmentof smart agriculture.Asakeytoolinsmartagriculture，unmannedaerialvehicle（UAV）multispectralimaging technologyhasshown significantpotentialinthe managementoftobaccofields.ThewidespreaduseoftheDJPhantom4Multispectral （P4M）dronein China，inparticular，haslaidasoldfoundationfortheapplicationof tistehnologyitobaccoindustry.Herewesystematically reviewtheapplicationofUAVmultispectralimaging technologyinthesmartmanagementoffue-curedtobaccofields，including monitoringof plantingareaandgrowth，yieldandleafqualityprediction，nutritionaldiagnosisandfertilization，soilmoisture monitoring，andpestanddiseasepredictionThesetechnologicalapproachescansgnificantlyehancethesmartfieldmanagementof tobaccoproduction，optimizingresourceusageandimprovingyieldandqualityHowever，chalengessuchashightchicalcosts， complex dataprocessng，andalackofstandardedoperatingproceduresrmaininpracticalaplicationFurthreseach isrired to address these issues.

Keywords： UAV; multispectral imaging; flue-cured tobacco ; smart agriculture; tobacco field management

作为智慧农业的关键技术，无人机遥感技术以其广视角、快速性、高准确性、客观性、动态性、多尺度性等特点，展现出在大规模作物监测和预测中的独特优势[1-3]。（剩余21074字）