Ying Zhou and  Shuangyan Liu. Forecast of Agricultural Products and Cognition of Commercial Slogans Based on Grey Markov Model. Dynamic Systems and Applications 29 (2020) No. 5, 1817 – 1823

https://doi.org/10.46719/dsa202029513

ABSTRACT.
So as to get the magnificent exactness for value estimate in the agribusiness items showcase, the Gray Prediction technique is used to conjecture the cost of the horticulture items. Trials show that the GM (1, 1) isn’t useful for determining the farming items cost and isn’t steady as well. While the insight of business mottos (CCS) in light of them (1, 1) is giving the preferred outcomes to analyze over different techniques. Investigation results demonstrate that this decision is important and helpful to break down and to explore the value conjecture in the horticulture items showcase. This investigation is the principal endeavor utilizing CCS dependent on GMMto estimate future horticultural item gracefully. The discoveries of this examination will assist with delivering compelling approaches to forestall supply disequilibrium, and overabundance value changes. The point of this examination is to give a precise conjecture of farming creation.

Keywords: Forecast Agriculture, Forecasting Price of Products, Cognition Of Commercial Slogans (CCS), Grey Prediction And Markov Chain Model (GMM).