ISBN: 978-981-18-3959-7 DOI: 10.18178/wcse.2022.06.006
Global Patent Analysis on Computer Vision Powered Crop Phenotyping
Abstract— The objective of this work is to obtain the research trend and technical composition of computer vision powered crop phenotyping by analyzing related patents in a global scale. Based on the retrieved patent data, we analyze the global innovation distribution, research hotspots, major countries, and major patent applicants. It is revealed that the patents of computer vision powered crop phenotyping has been booming in the past two decades. With number of patent and patent applicant both rising steadily in recent years, this technology is still on a sharply growing stage. Results show that the total number of patents related to computer vision powered crop phenotyping is 3 765, of which 3 446 are invention patents. The top 3 countries by patent number are China, the United States and Japan. The vast majority of patents are owned by private corporations and universities, including several major applicants such as Pioneer Seed and Monsanto. Pattern recognition, image analysis, sensor application and computational models are among the research hotspots. This study presents a panoramic view of the global patent on crop phenotyping, and provides references for the research layouts and innovation decision-making organizations.
Index Terms— data mining and processing, computer vision, patent analysis, crop phenotyping
Library, Huazhong Agricultural University, Wuhan, CHINA
College of Engineering, Huazhong Agricultural University, Wuhan, CHINA
Cite: Da Kuang, Lingfeng Duan, "Global Patent Analysis on Computer Vision Powered Crop Phenotyping, " Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering (WCSE 2022), pp. 34-39, June 24-27, 2022.