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。
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.
作者
刘勤
胡良龙
郑砚砚
檀律科
王叶萌
陈青
Qin Liu;Lianglong Hu;Yanyan Zheng;Lüke Tan;Yemeng Wang;Qing Chen(Nanjing Institute of Agricultural Mechanization,Ministry of Agriculture and Rural Affairs,Nanjing,210014,China)
出处
《智能化农业装备学报（中英文）》
2021年第1期20-27,共8页
Journal of Intelligent Agricultural Mechanization
基金
江苏省委农办、省农业农村厅乡村振兴软科学研究课题(20ASS028)。
关键词
茶叶
蔬菜
智能化采收
专利
tea
vegetables
intelligent harvesting
patent
