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作 者:魏秀红[1] 邹佳辉[1] 刘艳楠 何燕 张欣怡 齐丽君 Wei Xiuhong;Zou Jiahui;Liu Yannan;He Yan;Zhang Xinyi;Qi Lijun(Jiuquan Forest and Fruit Service Center,Jiuquan 735000,China;Forestry Ecological Workstation of Aksai County,Jiuquan 736400,China;Jinta County Forest Resources Management Station,Jiuquan 735000,China)
机构地区:[1]酒泉市林果服务中心,甘肃酒泉735000 [2]阿克塞县林业生态工作站,甘肃酒泉736400 [3]金塔县森林资源管理站,甘肃酒泉735000
出 处:《防护林科技》2021年第4期33-34,60,共3页Protection Forest Science and Technology
摘 要:通过物联网智能虫情测报系统和频振式杀虫灯人工计数在枸杞害虫远程监测中的应用进行对比试验,结果表明:在托普云农(TPCB-Ⅱ-C7.0)物联网系统计数、托普云农(TPCB-Ⅱ-C7.0)物联网系统人工收虫计数、频振式杀虫灯人工收虫计数3种方法中,枸杞木虱和枸杞蚜虫发生盛期和高峰期基本一致,绝对诱虫量存在差异。物联网远程监测与人工监测之间具有一定的差异。物联网虫情测报系统具有较高的准确性和可信度,有助于林业病虫害疫情预测。Using the IOT Intelligent Insect Situation Forecasting System and the frequency vibration insecticidal lamp manual count to carry on the contrast experiment,obtained in the Tuopu Yunnong(TPCB-Ⅱ-C7.0)the IOT system count,Tuopu Yunnong(TPCB-Ⅱ-C7.0)the IOT system artificial insect collection count,the frequency vibration insecticidal lamp artificial insect collection count three methods,the medlar wood lice and the medlar aphid occurrence prosperous period and the peak period basically consistent,the absolute trap quantity exists the difference.There are some differences between IOT remote monitoring and manual monitoring of the Internet of things.In the future,the monitoring system of the Internet of things should be further improved in software and hardware.IOT Intelligent Insect Situation Forecasting System has high accuracy and credibility,which is helpful to predict the epidemic situation of forestry diseases and insect pests.
关 键 词:物联网智能虫情测报系统 监测 枸杞害虫
分 类 号:S763.49[农业科学—森林保护学]
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