發(fā)布時(shí)間：2018-06-19 10:06

  本文選題：溫室病蟲(chóng)害 + 黃瓜��； 參考：《山東農(nóng)業(yè)大學(xué)》2017年碩士論文

【摘要】：日光溫室是當(dāng)前中國(guó)設(shè)施蔬菜生產(chǎn)的主流,室內(nèi)溫度適宜,相對(duì)濕度大、葉片濕潤(rùn)時(shí)間長(zhǎng)是普遍現(xiàn)象,致使霜霉病等葉部病害及蚜蟲(chóng)、薊馬等害蟲(chóng)呈多發(fā)趨重態(tài)勢(shì),經(jīng)常造成嚴(yán)重減產(chǎn),甚至絕收。部分農(nóng)戶憑經(jīng)驗(yàn)定期施藥,或者初見(jiàn)癥狀就增加施藥次數(shù),不僅花費(fèi)高,更易造成農(nóng)藥殘留超標(biāo)和環(huán)境污染,難以適應(yīng)社會(huì)對(duì)食品安全、環(huán)境友好的要求。因此,在日光溫室蔬菜快速發(fā)展的背景下,亟需構(gòu)建病害預(yù)警模型及系統(tǒng),以提高病害防治的預(yù)見(jiàn)性,減少農(nóng)藥使用量。本文以控制日光溫室黃瓜病蟲(chóng)害需求為出發(fā)點(diǎn),研究設(shè)計(jì)并開(kāi)發(fā)了以日光溫室黃瓜為例的溫室蔬菜病蟲(chóng)害監(jiān)測(cè)預(yù)警系統(tǒng),實(shí)現(xiàn)了對(duì)日光溫室黃瓜的信息化管理以及對(duì)病蟲(chóng)害的智能化預(yù)警。本文主要完成以下工作:(1)搜集當(dāng)前溫室蔬菜病蟲(chóng)害的研究成果以及發(fā)展現(xiàn)狀,闡述開(kāi)發(fā)溫室蔬菜病蟲(chóng)害監(jiān)測(cè)預(yù)警系統(tǒng)的必要性以及實(shí)用價(jià)值。(2)進(jìn)行系統(tǒng)開(kāi)發(fā)的可行性分析,介紹溫室蔬菜病蟲(chóng)害監(jiān)測(cè)預(yù)警的主要實(shí)現(xiàn)方式,通過(guò)基于ASP.NET平臺(tái),利用SqlServer2008、VS2010等開(kāi)發(fā)工具,采用JavaScript、C#、html、css等編程語(yǔ)言,進(jìn)一步借助jQuery、EasyUI、BootStrap等開(kāi)發(fā)框架,整體上采用MVC架構(gòu),構(gòu)建了溫室黃瓜病蟲(chóng)害監(jiān)測(cè)預(yù)警系統(tǒng)。(3)通過(guò)將收集整理的田間試驗(yàn)數(shù)據(jù)、溫室基本信息、生產(chǎn)履歷、實(shí)時(shí)環(huán)境監(jiān)測(cè)、病蟲(chóng)害信息采集等數(shù)據(jù),以及移動(dòng)端采集的數(shù)據(jù)進(jìn)行整合,建立日光溫室黃瓜病蟲(chóng)害警兆指標(biāo)數(shù)據(jù)庫(kù)。(4)集成設(shè)施環(huán)境、病蟲(chóng)害自動(dòng)監(jiān)測(cè)和預(yù)警模型,研發(fā)設(shè)施蔬菜病蟲(chóng)害智能監(jiān)測(cè)預(yù)警系統(tǒng),將系統(tǒng)對(duì)接到農(nóng)業(yè)物聯(lián)網(wǎng)平臺(tái),進(jìn)行應(yīng)用示范。(5)建立溫室黃瓜病蟲(chóng)害監(jiān)測(cè)預(yù)警微信公眾平臺(tái),可以使用戶隨時(shí)隨地查詢、瀏覽溫室數(shù)據(jù),監(jiān)測(cè)溫室內(nèi)病蟲(chóng)害發(fā)生情況,同時(shí)支持?jǐn)?shù)據(jù)上傳。該系統(tǒng)的開(kāi)發(fā)主要結(jié)合當(dāng)前蔬菜病蟲(chóng)害預(yù)警系統(tǒng)的發(fā)展與研究現(xiàn)狀,充分運(yùn)用現(xiàn)有的預(yù)測(cè)分析技術(shù),通過(guò)需求調(diào)研分析及田間試驗(yàn),對(duì)溫室黃瓜生長(zhǎng)過(guò)程進(jìn)行全程追蹤,監(jiān)測(cè)溫室黃瓜的生長(zhǎng)環(huán)境數(shù)據(jù)以及生長(zhǎng)狀態(tài),從而對(duì)可能發(fā)生的病害、蟲(chóng)害進(jìn)行預(yù)測(cè),構(gòu)建病蟲(chóng)害預(yù)測(cè)體系,建立溫室黃瓜病蟲(chóng)害監(jiān)測(cè)預(yù)警系統(tǒng),以方便在今后溫室黃瓜種植中投入使用。
[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.
【學(xué)位授予單位】：山東農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP277

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