温室黄瓜病虫害监测预警系统研究与实现

发布时间：2018-06-19 10:06

本文选题：温室病虫害 + 黄瓜　；参考：《山东农业大学》2017年硕士论文

【摘要】：日光温室是当前中国设施蔬菜生产的主流,室内温度适宜,相对湿度大、叶片湿润时间长是普遍现象,致使霜霉病等叶部病害及蚜虫、蓟马等害虫呈多发趋重态势,经常造成严重减产,甚至绝收。部分农户凭经验定期施药,或者初见症状就增加施药次数,不仅花费高,更易造成农药残留超标和环境污染,难以适应社会对食品安全、环境友好的要求。因此,在日光温室蔬菜快速发展的背景下,亟需构建病害预警模型及系统,以提高病害防治的预见性,减少农药使用量。本文以控制日光温室黄瓜病虫害需求为出发点,研究设计并开发了以日光温室黄瓜为例的温室蔬菜病虫害监测预警系统,实现了对日光温室黄瓜的信息化管理以及对病虫害的智能化预警。本文主要完成以下工作:(1)搜集当前温室蔬菜病虫害的研究成果以及发展现状,阐述开发温室蔬菜病虫害监测预警系统的必要性以及实用价值。(2)进行系统开发的可行性分析,介绍温室蔬菜病虫害监测预警的主要实现方式,通过基于ASP.NET平台,利用SqlServer2008、VS2010等开发工具,采用JavaScript、C#、html、css等编程语言,进一步借助jQuery、EasyUI、BootStrap等开发框架,整体上采用MVC架构,构建了温室黄瓜病虫害监测预警系统。(3)通过将收集整理的田间试验数据、温室基本信息、生产履历、实时环境监测、病虫害信息采集等数据,以及移动端采集的数据进行整合,建立日光温室黄瓜病虫害警兆指标数据库。(4)集成设施环境、病虫害自动监测和预警模型,研发设施蔬菜病虫害智能监测预警系统,将系统对接到农业物联网平台,进行应用示范。(5)建立温室黄瓜病虫害监测预警微信公众平台,可以使用户随时随地查询、浏览温室数据,监测温室内病虫害发生情况,同时支持数据上传。该系统的开发主要结合当前蔬菜病虫害预警系统的发展与研究现状,充分运用现有的预测分析技术,通过需求调研分析及田间试验,对温室黄瓜生长过程进行全程追踪,监测温室黄瓜的生长环境数据以及生长状态,从而对可能发生的病害、虫害进行预测,构建病虫害预测体系,建立温室黄瓜病虫害监测预警系统,以方便在今后温室黄瓜种植中投入使用。
[Abstract]:Solar greenhouse is the mainstream of vegetable production in China at present. It is a common phenomenon that the indoor temperature is suitable, the relative humidity is high, and the leaf wetting time is long, which results in many leaf diseases such as downy mildew and aphid, thrips and other pests. Often cause serious reduction in production, or even the end of income. Some farmers apply pesticide regularly based on their experience, or increase the frequency of application at the first sight of symptoms, which is not only expensive, but also easy to cause excessive pesticide residues and environmental pollution, so it is difficult to adapt to the social requirements of food safety and environmental friendliness. Therefore, under the background of the rapid development of vegetables in solar greenhouse, it is urgent to construct disease warning model and system to improve the predictability of disease prevention and control and to reduce the use of pesticides. Based on the requirement of controlling cucumber diseases and insect pests in solar greenhouse, a greenhouse vegetable pest monitoring and warning system was designed and developed in this paper. The information management of cucumber in solar greenhouse and the intelligent early warning of diseases and insect pests were realized. This article mainly completes the following work: 1) collects the current greenhouse vegetable disease and insect pest research achievement and the development present situation, expounds the necessity and the practical value of the greenhouse vegetable disease and insect pest monitoring and early warning system, carries on the feasibility analysis of the system development. This paper introduces the main ways to realize the monitoring and warning of greenhouse vegetable diseases and insect pests. By using ASP. Net platform, using SQL Server 2008 / VS2010 and other development tools, and using the programming language such as JavaScript C#htmlCSS, the author makes further use of the development framework such as jQuery EasyUIYUIYUISAL Boot trap and so on, and adopts MVC architecture as a whole. A greenhouse cucumber disease and insect pest monitoring and early warning system is constructed. The data collected from field experiments, greenhouse basic information, production resume, real-time environmental monitoring, pest and disease information collection, and mobile data collection are integrated. The integrated facility environment, automatic monitoring and early warning model of diseases and pests, the intelligent monitoring and early warning system of vegetable diseases and insect pests in greenhouse were established, and the system was connected to the agricultural Internet of things platform. The public platform of monitoring and early warning of cucumber diseases and insect pests in greenhouse can be set up, which can make users search anywhere at any time, browse greenhouse data, monitor the occurrence of diseases and pests in greenhouse, and support data uploading at the same time. The development of the system mainly combined with the current development and research status of vegetable disease and insect pests early warning system, fully using the existing prediction and analysis technology, through demand investigation and field experiments, the whole growth process of greenhouse cucumber was tracked. Monitoring the growth environment data and growth status of greenhouse cucumber, so as to predict the possible diseases and insect pests, construct the pest and disease prediction system, and establish the greenhouse cucumber pest monitoring and warning system. In order to facilitate the use of greenhouse cucumber in the future.
【学位授予单位】：山东农业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP277

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