A Collaborative Multi-agent System for Oil Palm Pests and Diseases Global Situation Awareness

被引：0

作者：

Mostafa, Salama A. ^{[1
]}

Hazeem, Ahmed Abdulbasit ^{[2
]}

Khaleefahand, Shihab Hamad ^{[3
]}

Mustapha, Aida ^{[1
]}

Darman, Rozanawati ^{[1
]}

机构：

[1] Univ Tun Hussein Onn Malaysia, Parit Raja 86400, Johor, Malaysia

[2] Anbar Gen Director Educ, Anbar 31001, Iraq

[3] Al Maarif Univ Coll, Anbar 31001, Iraq

来源：

PROCEEDINGS OF THE FUTURE TECHNOLOGIES CONFERENCE (FTC) 2018, VOL 1 | 2019年 / 880卷

关键词：

Oil palm pests and diseases; Risk assessment; Multi-agent system; Global situation awareness; BASAL STEM ROT;

D O I：

10.1007/978-3-030-02686-8_57

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Many researchers have been studying biological and managerial challenges of oil palm trees plantation and production. Oil Palm Pests and Diseases (OPPD), such as Oryctes rhinoceros beetles and Ganoderma are most prominent among the natural factors that deter the growth of oil palm trees and yields. Some of these OPPD have the properties of fast expansion and dynamic distribution making the monitoring of the OPPD a complex problem. Consequently, this paper proposes a risk assessment framework for Oil Palm Pests and Diseases Global Situation Awareness (OPPD-GSA). The OPPD-GSA framework operates by a teamwork of humans and software agents in a Collaborative Multi-agent System (CMAS). The overall system is implemented and experimentally tested in monitoring and controlling a sample OPPD observation data of Oryctes rhinoceros beetles and Ganoderma within five areas in Malaysia. The test results confirm that the OPPD-GSA application is able to process the OPPD monitoring tasks in real-time and handle Geo-located visualization data.

引用

页码：763 / 775

页数：13

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