Performance Evaluation of Multi Agent Agriculture System using Markov Processes

Abstract

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.