Considering the weakness in the discrete grey seasonal model, a new grey seasonal model
is put forward by introducing a time trends item. Moreover, some properties of this proposed …

In order to accurately describe real systems with seasonal disturbances, which normally
appear monthly or quarterly cycles, a novel discrete grey seasonal model, abbreviated as …

Deep neural networks are a tool for acquiring an approximation of the robot mathematical
model without available information about its parameters. This paper compares the LSTM …

Egypt's agricultural sector plays a critical role in the country's economy, with wheat
cultivation being vital for ensuring food security. However, the challenges faced by wheat …

Price instability has been a major concern in most economies. Kenya's commodity markets
have been characterized by high price volatility affecting investment and consumer …

Advance estimates of significant cereal and commercial crops are given by the Directorate of
Economics and Statistics and the central Ministry of Agriculture, Cooperation & Farmers' …

Competition among firms sets center stage for a race where every competing entity seeks to
emerge the winner by scooping as much from the market and financial returns. A competitive …

In this study, a comparison of time-series modeling with linear and nonlinear ML tools is
conducted for fresh produce (FP) yield forecast. The consecutive monthly weather and yield …

The main goal of time series modelling is to collect and analyze past values to develop
appropriate models that describe the inherent structure and characteristics of the series …

The study was carried out to examine trends in the output and acreage in the Mumias Sugar
belt from the period 1985-2015. We used secondary data collected from Mumais Sugar …