STOCHASTIC MODELING TECHNOLOGY FOR GRAIN CROPS STORAGE APPLICATION: REVIEW

Johevajile K. Mazima¹ , Agbinya Johnson² , Emmanuel Manasseh³ and Shubi Kaijage⁴

^1,4 Department of Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania

² School of Information Technology and Engineering, Melbourne Institute of Technology, Melbourne, Australia

³ Tanzania Communications Regulatory Authority, Dar es Salaam, Tanzania

ABSTRACT

Stochastic modeling is a key technique in event prediction and forecasting applications. Recently, stochastic models such as the Artificial Neural Network, Hidden Markov, and Markov Chain have received a significant attention in agricultural application. These techniques are capable of predicting the actions for the better planning and management in various fields. This work comprehensively summarizes and compares their applications such as their processing techniques, performance, as well as their strengths and limitations with regard to event prediction and forecasting. The work ends with recommendations on the appropriate techniques for cereal grain storage application

.KEYWORDS

Grain storage condition, Hidden markov model, Artificial Neural Network, Markov chain & Forecasting.

Original Source Link :  http://aircconline.com/ijaia/V7N6/7616ijaia03.pdf

http://airccse.org/journal/ijaia/current2016.html