Early rice disease detection and position mapping system using drone and IoT architecture

Nuttakarn Kitpo, Masahiro Inoue

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

Rice is the main agricultural produce in many Asian countries. However, the occurrence of diseases on rice plants could degrade the quality and decrease the quantity of rice. Therefore, earlier detection of plant disease will help preventing the rice from severe infection and avoiding crop loss. Recently, drones have been used in agriculture monitoring together with the camera and GPS sensor. It is an alternative tool to obtain data quickly and autonomously in large-scaled area. For a better rice productivity, this paper presents the implementation system of drone based on Internet of Things (IoT) architecture using real-time information including data acquisition and data analysis using image processing technique to perform rice disease detection and classification. The system is capable of displaying the analytic results including the position of infected rice plants mapping them on rice fields by using GPS sensor to define the position in real-time. This system was designed and proposed as a preliminary to support system for early and real-time disease detection with the implementation of IoT architecture.

元の言語English
ホスト出版物のタイトルProceedings - 12th SEATUC Symposium, SEATUC 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538650943
DOI
出版物ステータスPublished - 2018 3 1
イベント12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018 - Yogyakarta, Indonesia
継続期間: 2018 3 122018 3 13

出版物シリーズ

名前Proceedings - 12th SEATUC Symposium, SEATUC 2018

Conference

Conference12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018
Indonesia
Yogyakarta
期間18/3/1218/3/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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  • これを引用

    Kitpo, N., & Inoue, M. (2018). Early rice disease detection and position mapping system using drone and IoT architecture. : Proceedings - 12th SEATUC Symposium, SEATUC 2018 [8788863] (Proceedings - 12th SEATUC Symposium, SEATUC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SEATUC.2018.8788863