[HTML][HTML] An overview: Modeling and forecasting of time series data using different techniques in reference to human stress

SG Wawale, A Bisht, S Vyas, C Narawish… - Neuroscience Informatics, 2022 - Elsevier
Forex is an important currency indicator. The index is a major factor in the development of
the country. This look examines the effects of currency trading on the Random stroll version …

COVID-19 pandemic: ARIMA and regression model-based worldwide death cases predictions

V Chaurasia, S Pal - SN Computer Science, 2020 - Springer
COVID-19 has now taken a frightening form. As the days pass, it is becoming more and
more widespread and now it has become an epidemic. The death rate, which was earlier in …

Forecasting wheat production in India: An ARIMA modelling approach

B Nath, DS Dhakre, D Bhattacharya - Journal of Pharmacognosy …, 2019 - phytojournal.com
Box-Jenkins' ARIMA model: A time series modelling approach has been used to forecast
wheat production for India. ARIMA (1, 1, 0) model was found to be the best ARIMA model for …

Forecasting Sugarcane Yield of India based on rough set combination approach

HK Sharma, K Kumari, S Kar - Decision Making: Applications in …, 2021 - dmame-journal.org
This study applied a novel rough set combination approach for forecasting sugarcane
production in India. The paper uses autoregressive integrated moving average (ARIMA) …

[HTML][HTML] Pronósticos y series de tiempo de rendimientos de granos básicos en México

O Delgadillo-Ruiz, PP Ramírez-Moreno… - Acta …, 2016 - scielo.org.mx
La metodología de series de tiempo fue empleada en el presente estudio para comparar
diferentes métodos de pronósticos en series de rendimiento de granos básicos (maíz, frijol …

[HTML][HTML] Syrian crisis repercussions on the agricultural sector: Case study of wheat, cotton and olives

SA Mohammed, A Alkerdi, J Nagy… - Regional Science Policy & …, 2020 - Elsevier
This paper aims to outline the consequences of the Syrian conflict on the land use/cultivated
area, yield and production of the main crops: wheat, cotton, and olives. To achieve the study …

Forecasting Banana Harvest Area and Production in Turkey Using Time Series Analysis.

SP Eyduran, M Akın, E Eyduran, Ş Çelik… - Erwerbs …, 2020 - search.ebscohost.com
Abstract In this study, 1961–2015 period FAOSTAT data of banana harvest area and
production in Turkey was modeled with the objective to forecast banana harvest area and …

Comparing ARIMA and various deep learning models for long-term water quality index forecasting in Dez River, Iran

ARR Niknam, M Sabaghzadeh, A Barzkar… - … Science and Pollution …, 2024 - Springer
Water scarcity poses a significant global challenge, particularly in developing nations like
Iran. Consequently, there is a pressing requirement for ongoing monitoring and prediction of …

An applied time series forecasting model for yield prediction of agricultural crop

PCS Reddy, A Sureshbabu - … and Signal Processing: Proceedings of 2nd …, 2020 - Springer
Rice is an essential yield amongst the most essential food crops of India and it is grown
everywhere throughout the nation. Rice is a major yield in the semi-arid district as …

[PDF][PDF] Forecasting stock prices through univariate ARIMA modeling

M Afeef, A Ihsan, H Zada - NUML International Journal of …, 2018 - researchgate.net
Stock price forecasting is, and will always be, one of the most imperative financial
conjectures investors are confronted with. There are plentiful ways of effectively forecasting …