廣州智慧農(nóng)業(yè)氣象服務(wù)平臺(tái)設(shè)計(jì)與實(shí)現(xiàn)

doi:10.12306/2020jms.0052

首頁(yè) > 過刊瀏覽>2022年第42卷第2期 >270-278. DOI:10.12306/2020jms.0052

廣州智慧農(nóng)業(yè)氣象服務(wù)平臺(tái)設(shè)計(jì)與實(shí)現(xiàn)
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                        10.12306/2020jms.0052
                    
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中圖分類號(hào):P49
基金項(xiàng)目:廣州智慧農(nóng)業(yè)氣象服務(wù)平臺(tái)項(xiàng)目(GZIT2020-B4-552)

Design and implementation of Guangzhou intelligent agrometeorological service platform

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摘要:

基于國(guó)家對(duì)農(nóng)業(yè)信息化數(shù)字農(nóng)業(yè)發(fā)展要求,以及廣州都市農(nóng)業(yè)發(fā)展需求分析,探討了廣州智慧農(nóng)業(yè)氣象服務(wù)平臺(tái)構(gòu)建策略、建設(shè)規(guī)劃,重點(diǎn)探討通過可視化建模方式,以及通用算法和集合算法,方便業(yè)務(wù)人員自行構(gòu)建農(nóng)業(yè)氣象業(yè)務(wù)應(yīng)用模型;采用CiteSpace技術(shù)構(gòu)建農(nóng)業(yè)氣象知識(shí)圖譜,實(shí)現(xiàn)"惠農(nóng)"AI互動(dòng);通過Scrapy網(wǎng)絡(luò)爬蟲技術(shù)、Spark ML卷積神經(jīng)網(wǎng)絡(luò)算法,實(shí)現(xiàn)病蟲害圖像識(shí)別與趨勢(shì)分析;應(yīng)用基于GIS二三位一體化技術(shù)實(shí)現(xiàn)精細(xì)化的氣候資源區(qū)劃、氣象災(zāi)害風(fēng)險(xiǎn)區(qū)劃;采用Web系統(tǒng)與微信混合式服務(wù)方式,提供多個(gè)特色農(nóng)業(yè)氣象服務(wù)。旨在以平臺(tái)為載體,通過農(nóng)業(yè)氣象智能化信息化建設(shè),推進(jìn)粵港澳大灣區(qū)"菜籃子"工程建設(shè),推動(dòng)農(nóng)村產(chǎn)業(yè)規(guī)模和科技創(chuàng)新發(fā)展,促進(jìn)農(nóng)村一二三產(chǎn)業(yè)融合發(fā)展,實(shí)現(xiàn)農(nóng)業(yè)生產(chǎn)風(fēng)險(xiǎn)有效轉(zhuǎn)移,有效保障廣州都市農(nóng)業(yè)發(fā)展。

Abstract:

Guangzhou urban agriculture plays a fundamental role in the economic development of Guangzhou. The development mode of urban agriculture is different from that of traditional agriculture, thus the demand for agrometeorological services is also different between urban and traditional conditions. Therefore, it is of great practical significance to explore how to innovate agrometeorological services to solve the problem of short board of urban agricultural development in Guangzhou. Based on the national requirements for the development of agricultural information digital agriculture and the analysis of the development needs of urban agriculture in Guangzhou, this study discusses the buildup strategy of Guangzhou intelligent agrometeorological service platform. We focus on the implementation of visual modeling methods, as well as general algorithms and aggregation algorithms in order to facilitate business personnel to build their own agrometeorological business application model. In our buildup strategy, the CiteSpace technology can be used to build agrometeorological knowledge map to achieve "benefit farmers" AI interactive interface, and the pest recognition and trend analysis can be implemented by Scrapy web crawler technology and Spark ML convolution neural network algorithm. Besides, by using GIS two/three integrated technology, we can regionalize the fine climate resource and meteorological disaster. Finally, all of the agrometeorological services can be provided through the Web system and WeChat hybrid service system. The research aims to provide a new platform for service and to promote the construction of Guangdong-Hong Kong-Macau Greater Bay Area "vegetable basket" project and the development of rural industries scale and scientific and technological innovation. The implementation of the service platform can also promote the integration and development of primary, secondary and tertiary industries in rural area, realize the effective transfer of agricultural production risks, and effectively guarantee the development of urban agriculture in Guangzhou eventually.

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歐善國(guó),彭曉丹,凌洋.廣州智慧農(nóng)業(yè)氣象服務(wù)平臺(tái)設(shè)計(jì)與實(shí)現(xiàn).氣象科學(xué),2022,42(2):270-278 OU Shanguo, PENG Xiaodan, LING Yang. Design and implementation of Guangzhou intelligent agrometeorological service platform. Journal of the Meteorological Sciences,2022,42(2):270-278

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收稿日期:2020-03-13
最后修改日期:2020-06-17
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在線發(fā)布日期: 2022-05-31
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