Prediction of chickpea yield in Iraq using Markov chains

Abstract

. Predicing is an important statistical process and process research or mathematics in building a countrys economic policy and the Markov's series is one of the methods that rely on a single predict period .The research aims to use the Markov chains method in predicting the production of chickpeas in Iraq through crop production data during the period (1990 -2017). The yield of chickpea production was estimated at 93.5% during the period 2018, 2019 and 2020. Through the scientific applications of Markov's operations, Iraq what explains the need for the use of improved seeds and reduce the use of pesticides and agricultural chemicals to maintain soil fertility and productive capacity.