Multi-Agent Based Anti-Locust Territory Protection System
Author(s) -
А.А. Куандыков,
Raissa Uskenbayeva,
Young Im Cho,
Dinara Kozhamzharova,
Olimzhon Baimuratov,
Y. Chinibayev,
Nurlan Karimzhan
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.07.238
Subject(s) - computer science , locust , artificial intelligence , ecology , biology
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)
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