智能虫情测报灯装置优化与应用效果  

Development and application of intelligent pest forecasting light

作　　者：周国涛 李明珠 张建涛 赵晴 郑国清 Zhou Guotao;Li Mingzhu;Zhang Jiantao;Zhao Qing;Zheng Guoqing(Henan Yunfei Technology Devel opment Co.LTD,Zhengzhou Henan 450000,China;Institute of Agricultural Economics and Information,Henan Academy of Agricultural Sciences,Zhengzhou Henan 450002,China;Henan Technology Innovation Strategic Alliance for Intelligence Agriculture Industry,Zhengzhou Henan 450002,China;Hu-anghuaihai Key Laboratory of Intelligent Agricultural Technology,Ministry of Agriculture and Rural Affairs,Zhengzhou Henan 450002,China)

机构地区：[1]河南云飞科技发展有限公司,河南郑州450000 [2]河南省农业科学院农业经济与信息研究所,河南郑州450002 [3]河南省智慧农业产业技术创新战略联盟,河南郑州450002 [4]农业农村部黄淮海智慧农业技术重点实验室,河南郑州450002

出　　处：《中国植保导刊》2023年第10期48-53,共6页China Plant Protection

基　　金：河南省重大科技专项(171100110600,221100110800)。

摘　　要：智能虫情测报灯被广泛应用于农作物害虫种群动态监测。针对以往灯具实际应用过程中存在的拍摄照片模糊、虫体堆叠导致昆虫种类识别和数量统计准确率不高等问题,改进灯具,接虫盘设定直径为350 mm,材质设定为亚克力(单面磨砂),提高了照片对比度,同时保证虫体完全落入接虫盘内;加装具振动和减振作用的电机和内弹簧橡塑减振器,解决了害虫在接虫盘上的堆叠问题。通过对灯具关键部件改进结构、优化材料、加装部件,改进后的智能虫情测报灯增强了昆虫识别准确率,对稻纵卷叶螟、玉米螟、东方黏虫、二化螟的识别率分别提升了27.0、22.3、27.4、18.3个百分点。Intelligent pest forecasting light trap is widely used in dynamic monitoring of crop pest population.To address the issues of inaccurate insect species identification and counting due to insects being stacked or blurry photos,we selected the acrylic(single-sided frosted)lamp with a diameter of 350 mm to connect to the insect tray.This improve-ment has increased the contrast of the photos and ensured that all insects fall onto the photo base plate beneath the insect catch tray.Adding a motor with a vibration and damping effect,as well as an internal spring-loaded rubber-plastic damper,solves the problem of pest stacking on the photo base plate.By improving the structure,optimizing materials,and adding components to the key components of the lamps,the upgraded intelligent insect detection lamp trap has enhanced the precision of insect identification.The optimization and improvement led to a significant increase in the insect identification and counting accuracy,improving by 27.4,18.3,22.3,and 27.0 percentage points for Mythinma separata(Walker),Chilo suppressalis(Walker),Pyrausta nubilalis(Hubern),and Cnaphalocrocis medinalis,respectively.

关 键 词：智能虫情测报灯 自动识别计数 预测预报 

分 类 号：S431.7[农业科学—农业昆虫与害虫防治]