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水產(chǎn)養(yǎng)殖大數(shù)據(jù)技術研究進展與發(fā)展趨勢分析
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北京市科技計劃項目(Z171100001517016)和公益性行業(yè)(農(nóng)業(yè))科研專項(201203017)


State-of-the-art Review for Application of Big Data Technology in Aquaculture
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    摘要:

    水產(chǎn)養(yǎng)殖對象特殊,、環(huán)境復雜、影響因素眾多,,精準地監(jiān)測,、檢測和優(yōu)化控制極其困難。大數(shù)據(jù)技術結合數(shù)學模型,把水產(chǎn)養(yǎng)殖產(chǎn)生的大量數(shù)據(jù)加以處理和分析,,并將有用的結果以直觀的形式呈現(xiàn)給生產(chǎn)者與決策者,,是解決上述難題的根本途徑。本文主要對水產(chǎn)養(yǎng)殖大數(shù)據(jù)技術研究進展與發(fā)展趨勢進行了深入剖析,,提出了水產(chǎn)養(yǎng)殖業(yè)大數(shù)據(jù)技術的總體架構,;分析了水產(chǎn)養(yǎng)殖大數(shù)據(jù)的來源和獲取手段,,重點總結了幾種水產(chǎn)養(yǎng)殖大數(shù)據(jù)分析技術的研究進展和現(xiàn)有水產(chǎn)養(yǎng)殖大數(shù)據(jù)平臺及其提供的應用服務,;最后針對水產(chǎn)養(yǎng)殖與大數(shù)據(jù)技術結合過程所面臨的困難與挑戰(zhàn),從實現(xiàn)全面感知,、全產(chǎn)業(yè)鏈數(shù)據(jù)智能分析與自動決策,、水產(chǎn)養(yǎng)殖大數(shù)據(jù)標準體系建設等方面提出水產(chǎn)養(yǎng)殖大數(shù)據(jù)技術的發(fā)展方向。數(shù)據(jù)是根本,,分析是核心,,利用大數(shù)據(jù)技術提高水產(chǎn)養(yǎng)殖綜合生產(chǎn)力和效益是最終目的,應深度挖掘現(xiàn)實需求,,整合水產(chǎn)養(yǎng)殖全產(chǎn)業(yè)鏈數(shù)據(jù),,加強基礎理論和核心關鍵技術研究,從而推進大數(shù)據(jù)技術與水產(chǎn)養(yǎng)殖產(chǎn)業(yè)的深度融合,,支撐我國水產(chǎn)養(yǎng)殖業(yè)徹底轉型升級,。

    Abstract:

    It has many difficulties in monitoring and detection accurately and optimal control in aquaculture because the targets are so special and environment is so sophisticated that contributes too many impact factors. Big data technology, as well as mathematical models are used to process and analyze the large scale of data producing in aquaculture industry and the useful results are presented to producers and decision makers in intuitive form, which is the fundamental way to solve the above problems. The research progress and development trend of the applications of big data technology in aquaculture were deeply discussed. Firstly, the overall architecture of applying big data technology in aquaculture was proposed and the data sources and data acquisition tools were listed. Then, several kinds of analysis techniques, which had been well applied to deal with the existing problems in aquaculture, were mainly summarized and the several current big data platforms and the services they provided for aquaculture were introduced. Finally, in view of solving the difficulties and challenges faced in the process of applying big data technologies in aquaculture, the research future in this field was proposed form the aspects of comprehensive awareness, intelligent analysis, automatic decision-making, and big data standard system construction of aquaculture. In the applications of big data technology in aquaculture, data is the basis and analysis is the core. The ultimate goal is to take advantage of big data technology to improve the comprehensive productivity and efficiency of aquaculture. In order to achieve it, the actual demands in aquaculture should be greatly concerned. In addition, data of the whole industry chain in aquaculture should be integrated and the basic theories and core key technologies should be studied intensively and thoroughly. In this way, the application of big data technology in aquaculture will be deeper and the integration of the two will be closer, which will support the complete transformation and upgrading of China aquaculture industry.

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段青玲,劉怡然,張璐,李道亮.水產(chǎn)養(yǎng)殖大數(shù)據(jù)技術研究進展與發(fā)展趨勢分析[J].農(nóng)業(yè)機械學報,2018,49(6):1-16. DUAN Qingling, LIU Yiran, ZHANG Lu, LI Daoliang. State-of-the-art Review for Application of Big Data Technology in Aquaculture[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(6):1-16.

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  • 收稿日期:2018-05-03
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  • 在線發(fā)布日期: 2018-06-10
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