农业工程学报2011，Vol.27Issue(10)：137-141,5.DOI:10.3969/j.issn.1002-6819.2011.10.024
基于机器视觉的橘小实蝇运动轨迹跟踪与数量检测
Statistics and tracking of Bactrocera Dorsalis based on machine vision
摘要
Abstract
The number of Bactrocera Dorsalis in occurring period is the important parameter which threats the growth situation for fruit trees and is the basis of implementing variable rate technology. In order to realize detecting the occurrence of Bactrocera Dorsalis real-time and fasting in large-scale orchard, machine vision technologies based on moving object trace tracking were employed to trace Bactrocera Dorsalis behavies around traps real-time, so as to achieve statistics of their number into the hole precisely. The fore 50 000 video image were selected as evaluation samples which collected in feed room of Resource and Environment College in South China Agricultural University using vision monitoring platform for Bactrocera Dorsalis. Through comparison of results with methods of artificial and machine vision detecting, the experiment indicated that the number of Bactrocera Dorsalis detected by artificial and machine vision were 85 heads and 78 heads, respectively. The loss rate of detecting using machine vision was 9.4%, which can meet the demands of pests' monitoring.关键词
机器视觉/检测/虫害/橘小实蝇/轨迹跟踪Key words
machine vision/ detection/ pests/ Bactrocera Dorsalis/ tracking分类
农业科技引用本文复制引用
文韬,洪添胜,李震,罗文辉,龙秀珍,陈海彬..基于机器视觉的橘小实蝇运动轨迹跟踪与数量检测[J].农业工程学报,2011,27(10):137-141,5.基金项目
国家公益性行业(农业)科研专项经费项目(200903023) （农业）
国家现代农业产业技术体系建设专项资金项目(农科教发[2011]3号) （农科教发[2011]3号）
