ZIBELINE INTERNATIONAL PUBLISHING Information Management and Computer Science 2616-5961 FIRM AUTOMATION: A REINFORCEMENT LEARNING APPROACH Copyright © 2017 zibeline international publishing https://doi.org/10.26480/imcs.02.2022.28.30 Ipseeta Nanda Rajesh De Computerized Farm, Reinforcement Learning, Computation Creativity, Art Learning, AI in Agriculture. https://www.theimcs.org/archives2022/2imcs2022-28-30.pdf https://www.theimcs.org/xml/2imcs2022/2imcs2022-28-30.xml 5 2 28-30 https://www.theimcs.org/imcs-02-2022-28-30/ Summary

In most automation, we use ANN or RNN based algorithms. This results well but the prior information is what actions were previously taken by a human, this cannot be the only measure of learning a process we know humans learn everything with experience. And the most appropriate algorithm to learn like a human is Reinforcement Learning.