文章基本信息

标题：Performance Evaluation of Multi Agent Agriculture System using Markov Processes
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作者：Hayam Seireg ; Ahmed Elmahalawy ; Yasser Omar 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2019
卷号：9
期号：18
页码：89-98
DOI：10.5121/csit.2019.91807
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The multi agent agriculture system is a new application in AI to solve the problem of food shortage in the world and to decrease the gap between agriculture production and the need of people. In this paper we explorer the modeling and simulation of the new trend of the agriculture using AI with Markov processes. Simulation is used to check the performance of the proposed model. Steady state analysis of the proposed model is given. The steady state performance indicates that, the agriculture automation can close the gap between the actual production and the need of people. The main goal of using the multi-agents technology is to achieve high precision agriculture.
关键词：Markov processes; Steady state; Multi-agent system; Transition probability matrix; Complex real; world systems.