UAV-based multispectral image analysis system with semantic computing for agricultural health conditions monitoring and real-time management

Jinmika Wijitdechakul, Shiori Sasaki, Yasushi Kiyoki, Chawan Koopipat

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

Nowadays, UAV is widely used in several research and industrial fields. One of the highly beneficial features is that it is able to be utilized to capture aerial images in high-resolution for environmental study or detecting disaster phenomena quickly. This paper presents a multispectral image analysis system for aerial images that captured by multispectral camera, which are mounted on an unmanned autonomous vehicle (UAV) or Drone, and discusses an application of semantic computing system for agricultural health condition monitoring and analysis. In our experiments, we analyze multispectral images to detect healthy and unhealthy conditions of agricultural area and interpret the keyword of plant health conditions for user. We also propose the SPA process for real-time farming area management. As a case study, we conducted an experiment on rye fields in Latvia.

本文言語English
ホスト出版物のタイトルProceedings - 2016 International Electronics Symposium, IES 2016
編集者Hendy Briantoro, Ahmad Zainudin, Desy Intan Permatasari
出版社Institute of Electrical and Electronics Engineers Inc.
ページ459-464
ページ数6
ISBN(電子版)9781509016402
DOI
出版ステータスPublished - 2017 2月 21
イベント18th International Electronics Symposium, IES 2016 - Bali, Indonesia
継続期間: 2016 9月 292016 9月 30

出版物シリーズ

名前Proceedings - 2016 International Electronics Symposium, IES 2016

Other

Other18th International Electronics Symposium, IES 2016
国/地域Indonesia
CityBali
Period16/9/2916/9/30

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 代数と数論
  • 電子工学および電気工学
  • 器械工学

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