首页|基于物联网的番茄早疫病自动监测预警平台的应用与研究

基于物联网的番茄早疫病自动监测预警平台的应用与研究

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早疫病是对番茄生产影响较大的一种病害,但现有检测手段落后.为此,利用无线传感器、物联网、数据分析等现代信息技术与传统农业相结合,开展番茄早疫病自动检测预警研究.采用传感网络对番茄病害环境因子进行数据采集,并通过数据融合分析,建立番茄早疫病发生等级与环境因子相关的预警模型,构建番茄早疫病自动监测预警平台,实现对产地番茄病害实时动态监测和预警,可为番茄早疫病测报防治提供一种高效、自动化的技术和手段.该研究既能为番茄早疫病测报提供重要的技术和信息支撑,又可为其他相关治理发展提供参考.
Application and Research on Automatic Monitoring and Early Warning Platform for Tomato Early Blight Based on Internet of Things
Early blight is a disease that has great influence on tomato production.But the existing detection methods are backward.Thus,mod-ern information technologies,such as wireless sensor,Internet of Things and data analysis were combined with traditional agriculture,to carry out automatic detection and early warning of tomato early blight.Data on environmental factors of tomato diseases were collected by the sensor network.Data fusion analysis was used to construct automatic monitoring and early warning model.By constructing an automatic monitoring and early warning platform for tomato early blight,it could realize real-time dynamic monitoring and early warning of tomato diseases in the place of origin,and it could also provide an efficient,automated technology and means for the prevention and treatment of tomato early blight.This re-search could not only provide important technical and information support for the forecast of tomato early blight,but also provided reference for other related control development.

Tomato early blightPest detectionEarly warning modelInternet of ThingsData analysis

曾敏、应巨林、许驰、曾铮、郑乾生

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温州科技职业学院,浙江温州 325006

番茄早疫病 病虫害检测 预警模型 物联网 数据分析

温州市科技局基础性农业科技项目温州市科技计划项目

N20210007N20210006

2023

安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
年,卷(期):2023.51(24)
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