本文選題：種子 + 質量檢測��； 參考：《河南師范大學》2017年碩士論文

【摘要】：中國是傳統(tǒng)農業(yè)大國,常年用種量在125億公斤以上。中國種子行業(yè)具有穩(wěn)定的市場需求和巨大的發(fā)展空間。雖然我國種業(yè)發(fā)展飛速,但種子質量檢測相關平臺的開發(fā)依舊處于起步階段。所以僅僅依靠人工服務,種子質量在監(jiān)管方面難免有所疏忽。因此,研發(fā)可行性高的種子質量檢測服務平臺是提高種子質量,減少不合格種子流通,避免相關種子安全質量問題發(fā)生的有效途徑之一。種子質量檢測服務的建設核心是構建一個種子質量檢測服務平臺,而種子質量檢測服務平臺的建設概括起來包括基本的種子質量檢測業(yè)務和信息資訊這兩方面。種子質量檢測業(yè)務主要是為種子質檢中心和育種企業(yè)提供的,優(yōu)化種子質量檢測流程,輕松管理種子質量檢測相關事宜。信息資訊主要是針對普通農民用戶和種植公司,為用戶提供所需的相關資訊與選種建議。該平臺可移植性、實用性強,對于用戶終端要求低,節(jié)省了平臺建設基礎設施投資。種子質量檢測服務平臺不僅完善了以往的種子質量檢測模式,整合了種子相關數(shù)據(jù)信息,而且增強了用戶體驗,容易被用戶所接受。本文在對云計算技術及相關質量檢測云平臺進行分析和研究的基礎上,結合種子質量檢測有關知識,構建了一個基于云架構的種子質量檢測服務平臺。租戶通過網(wǎng)絡向云服務提供商租賃所需的相關服務,以較小的投資換取云計算所帶來強大的計算能力和儲存能力。該平臺租用云服務提供商的IaaS服務,搭建一個軟件系統(tǒng),并根據(jù)功能需求設計SaaS系統(tǒng),為用戶提供服務。本文所研究的系統(tǒng)平臺連接著種子質檢中心、育種企業(yè)、政府相關部門、普通用戶。該平臺滿足了不同角色對種子質量檢測的不同基本需求。本文主要實現(xiàn)以下三個目標:1)設計構建一個基于云構架的種子質量檢測平臺。該平臺從用戶的需求出發(fā),為不同角色的用戶提供相應的功能服務,盡可能滿足用戶的需求。2)利用該平臺對種子質量檢測數(shù)據(jù)進行分析。該平臺將質檢過的種子數(shù)據(jù)信息整合后,平臺利用相關技術進行初步的分析預測。3)實現(xiàn)在線通訊和在線支付功能。該平臺為用戶提供隨時隨地的在線交流和購買支付功能。
[Abstract]:China is a traditional agricultural country, the annual use of seeds in more than 12.5 billion kg. China's seed industry has a stable market demand and huge room for development. Despite the rapid development of seed industry in China, the development of seed quality testing platform is still in its infancy. So relying only on manual services, seed quality in the supervision of inevitable negligence. Therefore, developing a feasible seed quality testing service platform is one of the effective ways to improve seed quality, reduce substandard seed circulation and avoid related seed safety quality problems. The core of seed quality testing service is to construct a seed quality testing service platform, and the construction of seed quality testing service platform includes two aspects: basic seed quality testing service and information. Seed quality testing business is mainly for seed quality inspection center and breeding enterprises to optimize the seed quality testing process, easy management of seed quality testing related matters. Information is mainly aimed at ordinary farmers and planting companies to provide users with the relevant information and selection advice. The platform is portable and practical. It has low requirement for user terminal and saves investment in infrastructure construction. Seed quality testing service platform not only improves the former seed quality detection model, integrates the seed related data information, but also enhances the user experience and is easy to be accepted by users. Based on the analysis and research of cloud computing technology and related quality detection cloud platform, this paper constructs a seed quality detection service platform based on cloud architecture. Tenants rent related services from cloud service providers through the network, and exchange less investment for powerful computing power and storage capability brought by cloud computing. The platform rents the cloud service provider's IaaS service, sets up a software system, and designs the SaaS system according to the function requirement to provide the service for the user. The system platform is connected with seed quality inspection center, breeding enterprises, government departments and ordinary users. The platform meets different basic requirements of seed quality testing in different roles. This paper mainly implements the following three objectives: 1) Design a seed quality detection platform based on cloud architecture. Based on the users' needs, the platform provides corresponding functional services for users with different roles, and meets the needs of users as much as possible. 2) the platform is used to analyze the seed quality testing data. The platform integrates the quality check seed data information, the platform uses the correlation technology to carry on the preliminary analysis and forecast. 3) realizes the on-line communication and the on-line payment function. The platform provides users with online communication and purchase payment functions anytime, anywhere.
【學位授予單位】：河南師范大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP393.09;S339.2

【參考文獻】

相關期刊論文 前10條

1 劉云虎;;檢驗檢測與大數(shù)據(jù)——省級檢驗檢測認證公共服務平臺建設的必要性[J];價值工程;2016年24期

2 辛艷;;天津種子質量監(jiān)督檢測中心的提升改建與發(fā)展方向[J];種子世界;2016年03期

3 周學勤;;農管家:用移動互聯(lián)網(wǎng)解決農技推廣服務的痛點[J];農村工作通訊;2015年24期

4 孔德巍;班秀麗;;種子檢驗機構業(yè)務室工作的職責、特點及建議[J];種子世界;2015年11期

5 ;關于加快轉變農業(yè)發(fā)展方式的意見[J];江蘇農機化;2015年05期

6 溫永賢;杜偉業(yè);王君琛;姜偉;李潔;;PACS即服務的云平臺架構[J];中國醫(yī)療設備;2015年04期

7 程勇;王申豪;王軍;楊玲;薛佳樂;;基于完成端口的在線試衣Web服務器研究與設計[J];軟件導刊;2014年08期

8 尹國偉;王文生;李秀峰;孫志國;;建設“農技推廣云平臺”推動農業(yè)農村信息化[J];寧夏農林科技;2014年01期

9 王茜;朱志祥;葛新;杜遲;;應用于云計算中心的虛擬主機安全防護系統(tǒng)[J];計算機技術與發(fā)展;2014年03期

10 章鵬;;云計算(Cloud computing)——技術介紹及發(fā)展方向綜述[J];今日中國論壇;2013年17期

相關碩士學位論文 前3條

1 李振;基于機器視覺技術的蔬菜種子質量檢測方法研究及系統(tǒng)設計[D];安徽大學;2016年

2 呂雪驥;基于云計算平臺的智能推薦系統(tǒng)研究[D];安徽大學;2012年

3 徐立新;河南省農作物種子質量監(jiān)督檢驗體系現(xiàn)狀與發(fā)展對策研究[D];河南農業(yè)大學;2010年

，

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