For market players and policy officials, commodity price forecasts are crucial problems that
are challenging to address due to the complexity of price time series. Given its strategic …

Purpose Forecasts of commodity prices are vital issues to market participants and policy
makers. Those of corn are of no exception, considering its strategic importance. In the …

Agriculture is crucial as the backbone of national economy and source of food for human. To
be adapted with Industry 4.0, farmers should possessed the knowledge on price prediction …

The Philippines has recently experienced a shortage of various commodities, including
chicken eggs, well-milled rice, and native onions. The prices of these items have seen …

In the ever-evolving corn market, accurate price prediction is imperative for informed
decision-making. This research introduces an innovative predictive model that integrates …

Modern agriculture has to shoulder the burden of a plethora of challenges associated with
demographics, climate change, and natural resources depletion [1], as well as challenges …

A agricultura é um dos setores mais importantes da economia, fundamental para prover
alimentos, fibras e energia para a humanidade. No Brasil é importante fonte de empregos e …

Crop prices forecasting is crucial for farmers, policymakers, and investors. This paper aims
to propose suitable machine learning models for forecasting Thailand's maize prices by …

Determining whether commodity prices (and volatility) are driven by linear stochastic
processes or low-dimensional nonlinear deterministic dynamics (“chaos”) is crucial for …

This research aims for finding the regression model that can predict maize price sold by Thai
farmers. Three regression models are explored which are multiple linear regression, Ridge …