基于深度学习的农田秸秆燃烧检测系统设计

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中图分类号：TP18 文献标识码：A 文章编号：2096-4706（2025）17-0101-05

Abstract：This paper studies the agricultural straw burning detectionsystems inrecent years and application difculties of Object Detectionalgorithms indepth.Intermsof strawburningdetection technology，combined with UAVremotesensing technology，itarresouteal-tieispectionanddatacolltionofthbectarea，andtheDeepLeaingalgoritisusedto realizeintelligentdetectionandclassfcationofurningobjects.ItbuildsaPCterminalanda WeChat mini programmonitoring platform，designsasetofinteligentagriculturalstrawburingdtectionandalamsystemtroughcordinatedoptimiatioof hardware equipment and software systems，providinga feasible technical solution forimproving farmland managementeffciency and strengthening environmental protection.

Keywords： burming detection; UAV remote sensing technology; Deep Learning; Object Detection

0 引言

我国是一个传统的农耕国家，北部、中部和西南部的农村地区在春秋季节普遍存在大规模燃烧秸秆的现象。（剩余5678字）