Detailed Information

Cited 2 time in webofscience Cited 6 time in scopus
Metadata Downloads

Multi-agent based anti-locust territory protection system

Authors
Kuandykov, A.Uskenbayeva, R.Cho, Y.I.Kozhamzharova, D.Baimuratov, O.Chinibayev, Y.Karimzhan, N.
Issue Date
2015
Publisher
Elsevier B.V.
Keywords
Agent based modeling; HARMS; Heterogeneous robots; Locust control
Citation
Procedia Computer Science, v.56, no.1, pp.477 - 483
Journal Title
Procedia Computer Science
Volume
56
Number
1
Start Page
477
End Page
483
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10942
DOI
10.1016/j.procs.2015.07.238
ISSN
1877-0509
Abstract
Locust invasion still remains danger to crops and vast unused fields in certain parts of the world. This problem is also relevant to Kazakhstan. Every year the government allocates 16 million USD to control locusts' population, and prevent damages that they cause after its intrusion. The aim of this paper is to define the concept of developing an anti-locust multi-agent territory protection system (ALMATPS), which consists of heterogeneous robots such as unmanned aerial vehicles (UAV), ground robots (GR) or unmanned ground vehicles (UGV) (there is no different between these two terms, both can be used). These heterogeneous robots collaborate with each to achieve the main goal using the agent based modeling (ABM). © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
Files in This Item
There are no files associated with this item.
Appears in
Collections
IT융합대학 > 컴퓨터공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Cho, Young Im photo

Cho, Young Im
College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
Read more

Altmetrics

Total Views & Downloads

BROWSE