Running a virtual prototype experiment to test precision feeding systems can achieve instant results for low costs. An agent based model makes it possible to evaluate, design and test a precision feeding system while avoiding investment in physical construction. Each component of a virtual feeding system is made into its own software that has parameters, each piece of software is considered an agent. Each agent has its own limitations and can communicate and make requests from other agents by a high-level agent communication language. All the agents are combined in a multi-unit system which simulates the presision feeding system as a whole. The multiple agents collaborating and communicating together make up the operational capacity of the virtual prototype. Understanding parameters and workload capacity of the simulation model helps understand the workload capabilities of the real system and can help design the new feeding system. Agent based model allows for design alterations to be preformed and potentially put into practice in the real mechanism if proven to work. It is possible to evaluate testing immediately after a system has been built avoiding lag and time investment involved with physical testing, this is an advantage of the virtual system.