This paper is focused on the concise review of the specific applications of genetic algorithms
in forecasting commodity prices. Genetic algorithms seem relevant in this field for many …

Purpose The purpose of this paper is to provide reference for researchers by reviewing the
research advances and trend of agricultural product price forecasting methods in recent …

We explore the forecasting issue in a data set of daily corn cash prices from nearly 500
markets across sixteen states: North Dakota, Iowa, Minnesota, Illinois, Indiana, Ohio …

In this paper, an improved slope-based method (ISBM) based on empirical mode
decomposition (EMD) and feed-forward neural network (FNN) method, namely, the EMD …

It is difficult to forecast vegetable prices because they are affected by numerous factors, such
as weather and crop production, and the time-series data have strong non-linear and non …

Food production to meet human demand has been a challenge to society. Nowadays, one of
the main sources of feeding is soybean. Considering agriculture food crops, soybean is sixth …

The fluctuations of agricultural commodity prices have a great impact on people's daily lives
as well as the inputs and outputs of agricultural production. An accurate forecast of …

Unfavourable weather is a common cause for crop failures all over the world. Whilst extreme
weather conditions may cause extreme impacts, crop failure commonly is induced by the …

Predicting consumption behavior is very important for adjusting supplier production plans
and enterprise marketing activities. Conventional statistical methods are unable to …

Vegetable price predictions are of great significance to vegetable growers, particularly
regarding production and management to ensure a balance in the regional supply and …