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.
