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机构地区:[1]北京农学院计算机与信息工程学院,北京102206
出 处:《吉林大学学报(工学版)》2013年第S1期235-238,共4页Journal of Jilin University:Engineering and Technology Edition
基 金:北京市教委科技计划面上项目(KM201110020013)
摘 要:为解决农作物病虫害的诊断问题,选择京郊常见果树的三种害虫:桃蛀螟成虫、华北大黑鳃金龟成虫、桃六点天蛾,使用计算机视觉技术清除背景,获取该害虫的形状参数、偏心率等形态特征。通过判别分析,建立三种害虫形态特征的判别评分函数,并测试了该判别评分函数的有效性。实验结果表明,形状参数、偏心率、似圆度特征能反映这三种害虫的形态特点,可有效区分这三种害虫。In order to diagnose crop diseases and insect pests,computer vision technique was used to study three common insect pests of the fruit trees in the suburb of Beijing.These insect pests were dichocrocis punetiferalis,holotrichia oblita and marumba gaschkewitschi Bremeret Grey.It used computervision method to clean the background and get the pest's morphological characteristics such as shape parameter,eccentricity and round-like features.The discriminant function of the morphological characteristics was established,and its efficiency was tested.It is concluded that the morphological characteristics can describe the pest features and discriminate these three insect pests effectively.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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