华南农业大学学报2016，Vol.37Issue(6)：23-30,8.
基于图像识别的无人机精准喷雾控制系统的研究
Design of a precision spraying control system with unmanned aerial vehicle based on image recognition
摘要
Abstract
Objective]In order to improve the efficiency and utilization of conventional unmanned aerial vehicle ( UAV) spraying in fertilizer and pesticide applications, an variable rate UAV spraying system was developed based on image recognition.[Method]Median filter was applied to the images for denois-ing.K_means clustering algorithm was then used to segment the UAV images to extract 22 texture features and the color of non-crop region.Support vector machine ( SVM) classifier was designed for classification.According to the 17 selected characteristic parameters, the non-crop region was recognized through the SVM classifier with Radial basis function ( RBF) as the kernel function.Finally, precision spraying was achieved with controllable nozzles based on the recognition results.[Result]The recognition accuracy reached up to 76.56%.In undisturbed wind farm, the reduction rate reached 32.7%with the threshold P of 10%.[Conclusion]This research can serve as reference guides for application of precise spraying control technology in agricultural aviation.关键词
支持向量机/无人机/图像识别/精准喷雾Key words
support vector machine/unmanned aerial vehicle/image recognition/precision spray分类
农业科技引用本文复制引用
王林惠,甘海明,岳学军,兰玉彬,王健,刘永鑫,凌康杰,岑振钊..基于图像识别的无人机精准喷雾控制系统的研究[J].华南农业大学学报,2016,37(6):23-30,8.基金项目
国家自然科学基金（41471351）；华南农业大学校长基金 （）
