Performance Evaluation of Multi Agent Agriculture System using Markov Processes

摘要

The multi agent agriculture system is a new application in AI to solve the problem of foodshortage in the world and to decrease the gap between agriculture production and the need ofpeople. In this paper we explorer the modeling and simulation of the new trend of the agricultureusing AI with Markov processes. Simulation is used to check the performance of the proposedmodel. Steady state analysis of the proposed model is given. The steady state performanceindicates that, the agriculture automation can close the gap between the actual production and theneed of people. The main goal of using the multi-agents technology is to achieve high precisionagriculture.