Markovian prediction of future values for food grains in the economic survey
Suriyakrishnan Sathish, D. K. Babu · IOP Conference Series Materials Science and Engineering · 2017
Now-a-days prediction and forecasting are plays a vital role in research. For prediction, regression is useful to predict the future value and current value on production process. In this paper, we assume food grain production exhibit Markov chain dependency and time homogeneity. The economic generative performance evaluation the balance time artificial fertilization different level in Estrusdetection using a daily Markov chain model. Finally, Markov process prediction gives better performance compare with Regression model.