Potatoes are one of the widely consumed staple foods all over the world. The prices of
potatoes were more unstable than other agricultural commodities because of factors such as …

In order to address the significant prediction errors resulting from the substantial fluctuations
in agricultural product prices and the non-linear features, this paper proposes a hybrid …

Modeling the arrivals and prices of agricultural commodities is an essential requirement for
farmers, consumers, and governmental organizations to make informed decisions. This is …

This study aims to investigate the causal relationship between Gross Domestic Product and
greenhouse gas emissions in Türkiye from 1951 to 2018, using the Causal Decomposition …

Agricultural commodity price is very volatile in nature due to its nonlinearity and
nonstationary character. The volatility behaviour of the commodity price creates a lot of …

Accurate and timely price information and forecasting help in making efficient plans and
strategies. Non-linearity and non-stationarity behaviour of price data create problems in …

Electricity and electric-equipment play a critical role in modern living, and precise price
forecasting for these items' aids decision-makers in anticipating changes, planning, and …

Agricultural crop price prediction is a crucial tool for farmers, enabling them to make
informed decisionsand optimize their profits. This paper presents the development of a …

It fits Empirical Mode Decomposition and Support Vector Regression based hybrid model for
nonlinear and nonstationary timeseries data. Along with the choice to choose the …

Inner Mongolia is one of the important egg production areas within China. To encourage the
egg business in Inner Mongolia to grow in a healthy and sustainable manner, a total of 244 …