A Note on Active Learning for Cultivation Management using Markov decision processes

Abstract

In this research an active learning method for cultivation management using Markov decision processes is proposed. The proposed method is equivalent to a test cultivation method in agricultural experiment stations. The effectiveness of the proposed method is shown by a computational example.