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茶葉生產(chǎn)裝備自動(dòng)化與智能化技術(shù)研究進(jìn)展與展望
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國(guó)家自然科學(xué)基金項(xiàng)目(52375272)、浙江省教育廳科研項(xiàng)目(Y202249547),、浙江工業(yè)大學(xué)研究生教改項(xiàng)目(2022316),、國(guó)家資助博士后研究人員計(jì)劃項(xiàng)目(GZB20230339)和湖州市自然科學(xué)基金項(xiàng)目(2021YZ07)


Tea Production Equipment Automation and Intelligent Technology Research Progress and Prospects
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    摘要:

    茶產(chǎn)業(yè)是我國(guó)傳統(tǒng)特色優(yōu)勢(shì)產(chǎn)業(yè),,大數(shù)據(jù),、物聯(lián)網(wǎng)、云計(jì)算等新一代信息技術(shù)與農(nóng)業(yè)的融合促進(jìn)了茶產(chǎn)業(yè)向智能化轉(zhuǎn)型與升級(jí),,在茶葉全產(chǎn)業(yè)鏈賦能增效中發(fā)揮重要作用,。本文在概述了茶產(chǎn)業(yè)智能化技術(shù)體系的基礎(chǔ)上,圍繞種植,、加工,、檢測(cè)和銷售等4方面總結(jié)了國(guó)內(nèi)外信息技術(shù)在茶產(chǎn)業(yè)智能化中應(yīng)用的研究成果,分析了茶產(chǎn)業(yè)實(shí)現(xiàn)智能化的關(guān)鍵技術(shù),。最后對(duì)茶產(chǎn)業(yè)智能化未來(lái)發(fā)展方向進(jìn)行展望,,建議增強(qiáng)茶產(chǎn)業(yè)信息技術(shù)基礎(chǔ)設(shè)施建設(shè)、加強(qiáng)人機(jī)協(xié)作智能茶機(jī)設(shè)備研發(fā),、重視茶葉種植加工大模型開(kāi)發(fā),、提升大數(shù)據(jù)分析助力茶葉銷售能力,為更好利用信息技術(shù)進(jìn)行茶產(chǎn)業(yè)升級(jí)奠定基礎(chǔ),。

    Abstract:

    Tea industry is a traditional characteristic advantageous industry in China, and the integration of new generation information technology and agriculture, such as big data, Internet of things, cloud computing, etc., promotes the transformation and upgrading of the tea industry to intelligence, and plays an important role in empowering and increasing the efficiency of the whole tea industry chain. On the basis of an overview of the tea industry intelligent technology system, the domestic and international research was summarized based on the application of information technology in the tea industry intelligence around the four aspects of planting, processing, testing and sales, and the key technologies to achieve intelligence in the tea industry was analyzed. Finally, it was looked forward to the future development direction of tea industry intelligence, and suggested to enhance the tea industry information technology infrastructure construction, strengthen the research and development of intelligent tea machine equipment for human-machine collaboration, pay attention to the development of tea planting and processing models, and enhance the ability of big data analysis to help tea sales, in order to lay the foundation for better use of information technology for tea industry upgrading.

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高一聰,許晨,林瓊,王淑花,魏?jiǎn)?茶葉生產(chǎn)裝備自動(dòng)化與智能化技術(shù)研究進(jìn)展與展望[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2024,55(7):1-14. GAO Yicong, XU Chen, LIN Qiong, WANG Shuhua, WEI Zhe. Tea Production Equipment Automation and Intelligent Technology Research Progress and Prospects[J]. Transactions of the Chinese Society for Agricultural Machinery,2024,55(7):1-14.

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  • 收稿日期:2023-12-17
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  • 在線發(fā)布日期: 2024-07-10
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