机器视觉技术在农用无人机田间作业的应用现状及趋势OA

The integration of machine vision technology and unmanned aerial vehicle(UAV),with advantages such as high recognition accuracy,low cost,and high operational efficiency,is increasingly widely applied in agricultural production and has become a key means to enhance the intelligence level of field operations.This paper reviews the application progress of machine vision technology in typical field operations of agricultural UAVs from aspects such as precise sowing,crop inspection and variable pesticide application,phenotypic analysis,pollination and breeding,picking and yield estimation,and pest and disease control,and elaborates on its significant achievements in improving operation accuracy and efficiency,as well as reducing resource waste.At the same time,a thorough analysis of the current challenges faced by field operations is conducted,mainly including recognition interference in complex environments,insufficient model training and data processing capabilities,and relatively low system lightweight integration and hardware reliability.Finally,it is noted that conducting lightweight field perception model research based on machine vision technology,integrating multi-source and multi-modal image information,and utilizing visual data to optimize field operations can fill the shortcomings of agricultural intelligent equipments,solve current problems such as weak anti-interference ability of agricultural UAVs'visual recognition and insufficient precision of precise operations.The above research can provide theoretical references and technical support for promoting the intelligence and precision of agricultural operations.