Long run behaviour of single valued neutrosophic hidden Markov model.

Crop yield forecasting is the social problem in a current situation of the weather condition. Farmers' livelihoods are critically dependent on a changing environment that they are failing to fathom without access to sophisticated farming techniques and science-based climate and weather data. To deal with this case and to create the attention and awareness to the farmers, this work attempts to seek out the equilibrium condition for the weather to predict and to detect the crop yield forecasting using hidden markov model. Neutrosophic set is that the universal method to deal with indeterminacy. Markov process could be a stochastic model for estimating the equilibrium of any system, whereas in a hidden markov model the current state emits an observation. This work proposes and applies a proposed concept in agricultural field forecasting utilising a hidden markov model with a single valued neutrosophic number. [ABSTRACT FROM AUTHOR]