小麦赤霉病物联网实时监测预警技术试验评估  

Experimental evaluation of real-time monitoring and early warning technology for Fusarium head blight based on Internet of Things

作　　者：黄冲[1] 刘万才[1] 姜玉英[1] 吴佳文 邱坤[3] 杨俊杰 彭红[5] 杨桦 胡小平[7] Huang Chong;Liu Wancai;Jiang Yuying;Wu Jiawen;Qiu Kun;Yang Junjie;Peng Hong;Yang Hua;Hu Xiaoping(National Agricultural Technology Extension and Service Center,Ministry of Agriculture,Beijing 100125,China;Jiangsu Plant Protection and Plant Quarantine Station,Nanjing Jiangsu 210036,China;General Station of Plant Protection of Anhui Province,Hefei Anhui 230001,China;General Station of Plant Protection of Hubei Province,Wuhan Hubei 430007,China;Henan Plant Protection and Plant Quarantine Station,Zhengzhou Henan 450002,China;General Station of Plant Protection of Shaanxi Province,Xi'an Shaanxi 710003,China;College of Plant Protection,Northwest A&F University,Yangling Shaanxi 712100,China)

机构地区：[1]全国农业技术推广服务中心,北京100125 [2]江苏省植保植检站,江苏南京210036 [3]安徽省植物保护总站,安徽合肥230001 [4]湖北省植物保护总站,湖北武汉430070 [5]河南省植保植检站,河南郑州450002 [6]陕西省植物保护工作总站,陕西西安710003 [7]西北农林科技大学植物保护学院,陕西杨凌712100

出　　处：《中国植保导刊》2020年第9期28-32,共5页China Plant Protection

基　　金：国家重点研发计划课题(2018YFD0200500);农作物病虫鼠害疫情监测与防治项目。

摘　　要：2017—2019年,在长江流域及黄淮沿淮麦区6个县(市)开展小麦赤霉病物联网实时监测预警技术试验,结果表明,应用小麦赤霉病物联网实时监测预警技术对小麦赤霉病病穗率和发生程度的平均预测准确率分别为79.9%和67.1%。其中,对赤霉病发生程度的预测准确率在黄淮沿淮麦区平均为84.3%,高于长江流域的50%;对病穗率的预测准确率在黄淮麦区平均为86.8%,高于长江流域的73.0%。模型对黄淮及沿淮麦区小麦赤霉病的短期预测效果较好。From 2017 to 2019,experiments of mo nitoring and early warning technology of wheat Fusarium head blight were carried out in 6 counties in the Yangtze River Valley and Huanghuai wheat planted area.The results showed that the average accuracy of forecasting the diseased ears rate and the epidemic level of Fusarium head blight were 79.9%and74.5%,respectively.The average forecast accuracy of the epidemic level in the Huanghuai wheat planted area was 84.3%,which was higher than that of 67.1%in the Yangtze River valley.The average forecast accuracy of the diseased ears rate was 86.8%in the Huanghuai wheat planted area,which was also higher than that of 73.0%in the Yangtze River valley.The model has a good short-term early warning effect on Fusarium head blight in the Huanghuai wheat planted area.

关 键 词：小麦赤霉病 预报器 预报评估 

分 类 号：S435.121.45[农业科学—农业昆虫与害虫防治]