基于物联网技术的日光温室番茄茎基腐病预警模型研究  

Study on early warning model of tomato stem rot in solar greenhouse based on internet of things technology

作　　者：黄媛[1] 杨英茹[1] 高欣娜[1] 李海杰 武猛 杜亚茹 HUANG Yuan;YANG Ying-ru;GAO Xin-na;LI Hai-jie;WU Meng;DU Ya-ru(Shijiazhuang Academy of Agriculture and Forestry Sciences/Shijiazhuang Agricultural Informatization Engineering Technology Research Center,Shijiazhuang 050041,China)

机构地区：[1]石家庄市农林科学研究院/石家庄市农业信息化工程技术研究中心,石家庄050041

出　　处：《湖北农业科学》2020年第9期167-170,共4页Hubei Agricultural Sciences

基　　金：河北省科技厅重点研发计划(18226920D)。

摘　　要：利用农业物联网传感技术采集了日光温室秋茬番茄定植到一穗花期间的生长环境数据,利用SPSS Statistics Subscription初步建立了日光温室秋茬番茄茎基腐病预警模型,模型检验效果良好,并依据该模型建立了番茄茎基腐病预警系统,实现了通过农业物联网技术对日光温室番茄生长环境信息自动采集,通过番茄病虫害预警系统自动播报发病概率,初步实现了现代农业精准管理和智能判断的目标。The growth environment data of autumn tomato in solar greenhouse were collected by sensor technology of agricultural Internet of Things. Through practical research,the early-warning model of stem-based rot of autumn tomato in solar greenhouse was initially established by SPSS Statistics Subscription. The model test effect was good,and the experiment proved that the operation effect of the early-warning model was better in actual production. The establishment of the early warning model fully explored the relationship between soil humidity,air temperature and the occurrence probability of tomato stem base rot,laid a foundation for the establishment of early warning system for tomato diseases and insect pests,and made an exploration for the realization of accurate management of modern agriculture.

关 键 词：番茄茎基腐病 预警模型 农业物联网 日光温室 

分 类 号：S126[农业科学—农业基础科学] S436.412.1