A comprehensive analysis of global patent landscape for recent R&D in agricultural drone technologies

IF 2.2 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Amy J.C. Trappey, Ging-Bin Lin, Hong-Kai Chen, Ming-Chi Chen
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引用次数: 1

Abstract

The rapid development of information technology, along with advanced wireless communication technologies, has revolutionized the use of unmanned aerial vehicles (UAVs or drones) in many industries. In agriculture, due to the climate change and the growing global population, causing unprecedented demands and risks on food supplies, intelligent and automatic agricultural technologies are critical needs. UAVs offer a wide range of applications to transform traditional agricultural practices into Agriculture 4.0 that integrates advanced technology to optimize agricultural productivity, sustainability, and efficiency. To gain comprehensive insights into the current and future development of agricultural UAVs technologies, this research conducts extensive review and analysis of patents and non-patent literature in the field. By thoroughly examining the literature, the knowledge ontology of ag-UAV technologies is presented. Additionally, comprehensive macro- and micro-patent analyses identify the patenting trends and top tech-leaders for the key technologies related to agricultural drones. Moreover, utilizing regression modeling, technology maturity analysis, and technology-function matrix (TFM), the current and future R&D trends and the cold and hot spots of the technical innovations are identified. Through these detailed patent analyses, the state-of-the-art and potential advancements in agricultural UAV technologies are depicted, serving as crucial intelligence for R&D initiatives and IP strategies.

农业无人机技术最新研发的全球专利格局综合分析
信息技术的快速发展,以及先进的无线通信技术,已经彻底改变了无人驾驶飞行器(uav或无人机)在许多行业的使用。在农业方面,由于气候变化和全球人口不断增长,对粮食供应产生了前所未有的需求和风险,智能和自动化农业技术是关键需求。无人机提供了广泛的应用,将传统农业实践转变为农业4.0,整合先进技术,优化农业生产力、可持续性和效率。为了全面了解农业无人机技术的现状和未来发展,本研究对该领域的专利和非专利文献进行了广泛的回顾和分析。在深入查阅文献的基础上,提出了ag-UAV技术的知识本体。此外,全面的宏观和微观专利分析确定了与农业无人机相关的关键技术的专利趋势和顶级技术领导者。利用回归模型、技术成熟度分析和技术功能矩阵(TFM)分析了当前和未来的研发趋势以及技术创新的冷点和热点。通过这些详细的专利分析,描述了农业无人机技术的最新技术和潜在进展,为研发计划和知识产权战略提供了关键情报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
World Patent Information
World Patent Information INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.50
自引率
18.50%
发文量
40
期刊介绍: The aim of World Patent Information is to provide a worldwide forum for the exchange of information between people working professionally in the field of Industrial Property information and documentation and to promote the widest possible use of the associated literature. Regular features include: papers concerned with all aspects of Industrial Property information and documentation; new regulations pertinent to Industrial Property information and documentation; short reports on relevant meetings and conferences; bibliographies, together with book and literature reviews.
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