Identification and location of grapevine sucker based on information fusion of 2D laser scanner and machine vision

作     者：Wang Yaxiong Xu Shasha Li Wenbin Kang Feng Zheng Yongjun 

作者机构：School of TechnologyBeijing Forestry UniversityBeijing 100083China College of EngineeringChina Agricultural UniversityBeijing 100083China 

出 版 物：《International Journal of Agricultural and Biological Engineering》 (国际农业与生物工程学报（英文）)

年 卷 期：2017年第10卷第2期

页      面：84-93页

核心收录：

学科分类：0710[理学-生物学] 0810[工学-信息与通信工程] 080901[工学-物理电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 0805[工学-材料科学与工程（可授工学、理学学位）] 0803[工学-光学工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China(No.31600588) the Fundamental Research Funds for the Central Universities(No.2015ZCQ-GX-01) 

主　　题：grapevine suckers information fusion machine vision ExGExR triangle identification location 

摘      要：Chemical sucker control has been proven to be a more efficient method than manual and mechanical *** quick and effective identification and location of suckers are key technologies for targeted spray that can reduce chemical applications and alleviate potential *** goal of this research was to improve the accuracy of identification and location algorithm of grapevine suckers for real-time mobile targeted spray based on information fusion of two dimensional(2D)laser scanner and camera machine vision.A triangle white calibration board was used to determine the invisible laser scanning *** positions of the terminated points of the scanning line on the calibration board in the laser scanner’s coordinates were *** size and center location were obtained by ExGExR segmentation,then the relative position between the suckers and triangle calibration board was determined in the image ***,the actual size and relative position between the identified suckers and the platform were calculated by integrating the laser line and image *** results of the field trials showed that the consumed time of the developed algorithm was 0.787 s,the width recognition rate 91.8%,height recognition rate 88.2%,and the relative position accuracies 92.0%,87.3%,which could meet the requirement of grapevine sucker precision targeted spray.