Statistical tools for forecasting purpose started using smooth exponential methods in 1950s.
These methods were modified depending upon the trend followed in the data sets, based …

Accurate forecasting of various phenomenon has got crucial importance in the scenario of
Indian agriculture as this helps farmers, policy-makers and government to acquire informed …

In this paper, stock price data has been predicted using several state-of-the-art
methodologies such as stochastic models, machine learning techniqus, and deep learning …

Accurate prediction of time series data is crucial for informed decision-making and economic
development. However, predicting noisy time series data is a challenging task due to their …

Global freight distribution patterns have been affected by trading policies and the pandemic
outbreak. The Belt and Road Initiative, trade conflicts, and the COVID-19 pandemic have …

The fishing industry is identified as a strategic sector to raise domestic protein production
and supply in Malaysia. Global changes in climatic variables have impacted and continue to …

The agriculture sector plays an essential function within the Indian economic system.
Foodgrains provide almost all the calories and proteins. This paper aims to compare ARIMA …

Climate variability and change is expected to affect agricultural productivity among other
sectors. Studying the influence of this variability on crop production is one measure of …

Iraqi greenhouses require an active microcontroller system to ensure a suitable microclimate
for crop production. At the same time, reliable and timely Water Consumption Rate (WCR) …

An agriculture-dominated develo** country like India has been always in need of efficient
and reliable time series forecasting methodologies to describe various agricultural …