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

Nuttakarn Kitpo, Masahiro Inoue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 12th SEATUC Symposium, SEATUC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538650943
DOIs
Publication statusPublished - 2018 Mar 1
Event12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018 - Yogyakarta, Indonesia
Duration: 2018 Mar 122018 Mar 13

Publication series

NameProceedings - 12th SEATUC Symposium, SEATUC 2018

Conference

Conference12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018
CountryIndonesia
CityYogyakarta
Period18/3/1218/3/13

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Keywords

  • Disease classification
  • Disease detection
  • Drone
  • Image processing
  • Position mapping

ASJC Scopus subject areas

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

Cite this

Kitpo, N., & Inoue, M. (2018). Early rice disease detection and position mapping system using drone and IoT architecture. In 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