Representation of Plant Structure using XML and Its Application to Cultivation Management

Saki Saito, Kanami Yuyama, Masahisa Ishii, Victor Huang, Hiroaki Nishi

研究成果: Conference contribution

抄録

The agricultural population in Japan is aging and shrinking. Therefore, it is necessary to improve the efficiency of farm work. Additionally, it takes many years to learn the skills required for farming, which discourages many young people from joining the field. As a countermeasure to this problem, smart agriculture technology is gaining increasing attention. Smart agriculture is an approach to increasing the quantity and quality of crops by leveraging advanced technologies. In smart agriculture, a large amount of data are collected from various sensors and internet of things devices. As the use of information and communication technology in agriculture spreads, the demand for data sharing between different agricultural systems increases accordingly. However, electronic data exchange interfaces for agricultural data are not standardized. Therefore, in Japan, it has been recommended to unify data formats using extensible markup language (XML). In this study, we focused on data regarding crop growth states and developed a method for representing plant structure using XML. In the proposed method, branches and fruits are extracted from plant images and their connections are expressed using the hierarchical structure of XML. Compared to conventional management of crop growth states based on images, the proposed method significantly reduces data size. Furthermore, because XML elements can be easily searched and sorted using XPath and XQuery, the XML format makes data easy to utilize for many services. For example, by counting numbers of fruits, profits and work times can be predicted. Additionally, data regarding plant structure is useful for directing farmers or robots to harvest fruits. The proposed method contributes to improving productivity and helps inexperienced farmers.

本文言語English
ホスト出版物のタイトルProceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ125-131
ページ数7
ISBN(電子版)9781728189567
DOI
出版ステータスPublished - 2020 9
イベント25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020 - Vienna, Austria
継続期間: 2020 9 82020 9 11

出版物シリーズ

名前IEEE Symposium on Emerging Technologies and Factory Automation, ETFA
2020-September
ISSN(印刷版)1946-0740
ISSN(電子版)1946-0759

Conference

Conference25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
国/地域Austria
CityVienna
Period20/9/820/9/11

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 制御およびシステム工学
  • 産業および生産工学
  • コンピュータ サイエンスの応用

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