UAV path planning for autonomous spraying task at salak plantation based on the severity of plant disease

I. Wayan Muliawan, Muhammad Anwar Ma'Sum, Noverina Alfiany, Wisnu Jatmiko

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

Abstract

In this study, we propose a method of UAV path planning using modified particle swarm optimization (PSO) algorithm for autonomous spraying task at Salak (snake fruit) plantation based on the severity of plant disease. There are three levels of plant disease severity, i.e., high, moderate, and low disease severity. The modified PSO algorithm ignores the first level because the severity of the disease is high, so it will be impractical if the spraying process is conducted. Spraying process is conducted to moderate and low disease severity areas. Objective function is modified to meet the requirements, i.e., which areas will be sprayed and in which areas spraying is not necessary, so that spraying method becomes efficient. The simulation shows that the method of UAV path planning in this paper is applicable and more efficient than the previous method.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationCYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages109-113
Number of pages5
ISBN (Electronic)9781728108674
DOIs
Publication statusPublished - Aug 2019
Event2019 IEEE International Conference on Cybernetics and Computational Intelligence, CYBERNETICSCOM 2019 - Banda Aceh, Indonesia
Duration: 22 Aug 201924 Aug 2019

Publication series

NameProceedings: CYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World

Conference

Conference2019 IEEE International Conference on Cybernetics and Computational Intelligence, CYBERNETICSCOM 2019
CountryIndonesia
CityBanda Aceh
Period22/08/1924/08/19

Keywords

  • Agricultural Robotics
  • Autonomous Spraying
  • Modified Particle Swarm Optimization
  • UAV path planning

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    Muliawan, I. W., Ma'Sum, M. A., Alfiany, N., & Jatmiko, W. (2019). UAV path planning for autonomous spraying task at salak plantation based on the severity of plant disease. In Proceedings: CYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World (pp. 109-113). [8875683] (Proceedings: CYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CYBERNETICSCOM.2019.8875683