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智能化农业装备学报(中英文) ›› 2021, Vol. 2 ›› Issue (1): 20-27.DOI: 10.12398/j.issn.2096-7217.2021.01.003

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中国茶叶及蔬菜智能化收获技术发展现状*

刘勤, 胡良龙, 郑砚砚, 檀律科, 王叶萌, 陈青   

  1. 农业农村部南京农业机械化研究所,南京市,210014
  • 收稿日期:2021-05-01 出版日期:2021-05-15 发布日期:2021-11-30
  • 作者简介:刘勤,女,1969年生,江苏睢宁人,硕士,副研究员;研究方向为知识产权与农业机械化。E-mail: 631144312@qq.com
  • 基金资助:
    *江苏省委农办、省农业农村厅乡村振兴软科学研究课题(20ASS028)

Development status of intelligent harvesting technology for tea and vegetables in China*

Qin Liu, Lianglong Hu, Yanyan Zheng, Lüke Tan, Yemeng Wang, Qing Chen   

  1. Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, 210014, China
  • Received:2021-05-01 Online:2021-05-15 Published:2021-11-30
  • About author:Qin Liu, Master, Associate Researcher, research direction: intellectual property and agricultural mechanization. E-mail: 631144312@qq.com
  • Supported by:
    *Soft Science Research Project of the Agricultural Office of Jiangsu Provincial Committee and the Rural Revitalization of Jiangsu Provincial Department of Agriculture and Rural Affairs (20ASS028)

摘要: 采用文献计量分析方法,基于Patentics专利分析平台,通过对专利文献中的专利申请量、专利权人、发明人、技术主题等多个分类指标进行计量、归纳和可视化分析,探明中国茶叶和蔬菜智能化采收技术的发展脉络、主要创新机构、重要创新团队、核心专利、主要申请人关注的重点技术等情况,为促进茶叶和蔬菜产业创新发展提供情报支撑。

关键词: 茶叶, 蔬菜, 智能化采收, 专利

Abstract: Based on the patent analysis platform of patents, this article uses the bibliometric analysis method to measure, summarize and visually analyze the patent application amounts, patentees, inventors, technical topics and other classification indicators in the patent literature, so as to find out the development context, main innovation institutions, major innovation teams, core patents, key technologies concerned by the main applicants and others in Chinese tea and vegetables intelligent harvesting technology. The result and the conclusion can provide information support for promoting the innovation and development of tea and vegetables industry.

Key words: tea, vegetables, intelligent harvesting, patent

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