本文選題：農(nóng)業(yè)科技 + 農(nóng)民培訓(xùn)��； 參考：《吉林農(nóng)業(yè)大學(xué)》2017年碩士論文

【摘要】：科技是第一生產(chǎn)力,農(nóng)民科技素質(zhì)對(duì)培養(yǎng)新型職業(yè)農(nóng)民,發(fā)展現(xiàn)代農(nóng)業(yè)具有重要意義。當(dāng)前的農(nóng)業(yè)科技服務(wù)主要包括農(nóng)民培訓(xùn)、農(nóng)技推廣和成果推介,隨著信息技術(shù)的快速發(fā)展,以上三種服務(wù)模式在各種互聯(lián)網(wǎng)平臺(tái)上也得到了充分利用。但存在以下問(wèn)題:第一,線上農(nóng)業(yè)科技資源分散,缺少整合與共享;第二,線上資源的制作沒(méi)有考慮到農(nóng)民時(shí)間的碎片化特點(diǎn),導(dǎo)致資源利用率不高,發(fā)揮作用不夠。第三,現(xiàn)有的農(nóng)業(yè)科技資源管理平臺(tái)沒(méi)有考慮到農(nóng)業(yè)生產(chǎn)的時(shí)空性特點(diǎn),沒(méi)有實(shí)現(xiàn)農(nóng)業(yè)科技資源的精準(zhǔn)化和個(gè)性化推薦。針對(duì)以上問(wèn)題,本文開(kāi)展了以下研究。第一,針對(duì)現(xiàn)有線上農(nóng)業(yè)科技服務(wù)模式的不足,分析與設(shè)計(jì)了一種基于大數(shù)據(jù)的互聯(lián)網(wǎng)+農(nóng)業(yè)科技服務(wù)云平臺(tái)。該平臺(tái)面向三種用戶:農(nóng)民、農(nóng)業(yè)專(zhuān)家和系統(tǒng)管理員,實(shí)現(xiàn)三種應(yīng)用模式:電腦端B/S模式、移動(dòng)端Web模式和微信公眾號(hào)模式。整個(gè)平臺(tái)由前臺(tái)和后臺(tái)兩部分組成。前臺(tái)主要功能包括:公開(kāi)課、科教片、專(zhuān)家坐堂、農(nóng)村書(shū)屋等;后臺(tái)主要功能包含:數(shù)據(jù)統(tǒng)計(jì)與分析、資源共享與重用、信息搜索與推薦、視頻壓縮與優(yōu)化等。第二,針對(duì)農(nóng)民時(shí)間的碎片化特點(diǎn),提出一種基于微課的農(nóng)業(yè)科技資源制作方法和翻轉(zhuǎn)式培訓(xùn)方法。該方法有2個(gè)基本要點(diǎn):(1)制作以問(wèn)題為導(dǎo)向的微課在互聯(lián)網(wǎng)平臺(tái)上發(fā)布;(2)農(nóng)民在線上學(xué)習(xí)農(nóng)業(yè)專(zhuān)家參與錄制的微課程,農(nóng)業(yè)專(zhuān)家在線下組織農(nóng)民進(jìn)行討論并對(duì)農(nóng)民的提問(wèn)進(jìn)行答疑。第三,針對(duì)農(nóng)業(yè)生產(chǎn)的時(shí)空性特點(diǎn),提出一種農(nóng)業(yè)資源時(shí)空推薦模型。該模型以農(nóng)民所在地區(qū)和訪問(wèn)平臺(tái)時(shí)的節(jié)氣為依據(jù),為農(nóng)民提供精準(zhǔn)化、個(gè)性化資源推薦服務(wù)。該模型符合農(nóng)業(yè)生產(chǎn)實(shí)際,是對(duì)已有推薦方法的一個(gè)突破。第四,在以上三項(xiàng)研究的基礎(chǔ)上,開(kāi)發(fā)出基于大數(shù)據(jù)的農(nóng)業(yè)科技服務(wù)云平臺(tái)-吉農(nóng)在線。平臺(tái)采用spark大數(shù)據(jù)架構(gòu)和MongoDB數(shù)據(jù)庫(kù),實(shí)現(xiàn)了數(shù)據(jù)的快速性訪問(wèn)和資源的智能化管理。
[Abstract]:Science and technology is the first productive force, and the scientific and technological quality of farmers is of great significance to cultivate new professional farmers and develop modern agriculture. The current agricultural science and technology service mainly includes farmer training, agricultural technology extension and achievement promotion. With the rapid development of information technology, the above three service models have been fully utilized on various Internet platforms. But there are the following problems: first, the online agricultural science and technology resources scattered, lack of integration and sharing; second, the production of online resources did not take into account the fragmentation of farmers' time characteristics, resulting in a low utilization of resources, not enough to play a role. Third, the existing agricultural science and technology resources management platform does not take into account the space-time characteristics of agricultural production, and does not realize the precision and personalized recommendation of agricultural science and technology resources. In view of the above problems, this paper carried out the following research. Firstly, a cloud platform of Internet agricultural science and technology service based on big data is analyzed and designed in view of the deficiency of the existing online agricultural science and technology service model. The platform is designed for three kinds of users: farmers, agricultural experts and system administrators. It implements three application modes: computer side B / S mode, mobile side Web mode and WeChat public number mode. The whole platform consists of foreground and background. The main functions of the front desk include: open class, science and education film, expert sitting room, rural book house, etc. The backstage main functions include: data statistics and analysis, resource sharing and reuse, information search and recommendation, video compression and optimization, etc. Secondly, according to the fragmentation of farmer's time, a method of making agricultural science and technology resources based on microcourse and training method of flipping is put forward. This method has two basic points: 1) making problem-oriented microcourses and publishing them on Internet platforms.) Farmers learn microcourses recorded by agricultural experts online. Agricultural experts left the line to organize farmers to discuss and answer questions from farmers. Thirdly, according to the spatiotemporal characteristics of agricultural production, a spatio-temporal recommendation model of agricultural resources is proposed. The model is based on the solar terms of the area where the farmers are located and when visiting the platform, and provides the accurate and individualized resource recommendation service for the farmers. The model accords with the reality of agricultural production and is a breakthrough to the existing recommended methods. Fourth, on the basis of the above three studies, a cloud platform of agricultural science and technology based on big data-Jinong online was developed. The platform adopts spark big data structure and MongoDB database to realize fast data access and intelligent resource management.
【學(xué)位授予單位】：吉林農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP391.3;TP393.09

【參考文獻(xiàn)】

中國(guó)期刊全文數(shù)據(jù)庫(kù) 前10條

1 梅輝;韋琴;張軍林;;Camtasia Studio 8.6微課制作軟件的應(yīng)用——以分子生物學(xué)微課制作為例[J];黑龍江畜牧獸醫(yī);2017年04期

2 陳程程;張宵;宮健麗;于合龍;;農(nóng)業(yè)微課制作方法研究[J];中國(guó)農(nóng)機(jī)化學(xué)報(bào);2017年02期

3 張應(yīng)輝;司彩霞;;基于用戶偏好和項(xiàng)目特征的協(xié)同過(guò)濾推薦算法[J];計(jì)算機(jī)技術(shù)與發(fā)展;2017年01期

4 薛紅霞;;微課的制作與應(yīng)用:基于29節(jié)微課的評(píng)析與反思[J];中小學(xué)管理;2016年12期

5 周曉玲;劉燕梅;;大學(xué)英語(yǔ)翻轉(zhuǎn)課堂教學(xué)模式的實(shí)驗(yàn)研究[J];廣西師范大學(xué)學(xué)報(bào)(哲學(xué)社會(huì)科學(xué)版);2016年05期

6 陳虹君;吳雪琴;;基于Hadoop平臺(tái)的Spark快數(shù)據(jù)推薦算法分析與應(yīng)用[J];現(xiàn)代電子技術(shù);2016年10期

7 黎玲萍;毛克彪;付秀麗;馬瑩;王芳;劉R，

本文編號(hào)：1805059