Autoregressive models in environmental forecasting time series: a theoretical and application review

J Kaur, KS Parmar, S Singh - Environmental Science and Pollution …, 2023 - Springer
Though globalization, industrialization, and urbanization have escalated the economic
growth of nations, these activities have played foul on the environment. Better understanding …

Advances in statistical forecasting methods: An overview

R Majid, SA Mir - Economic Affairs, 2018 - indianjournals.com
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 …

Predictive analytics in Agriculture: Forecasting prices of Arecanuts in Kerala

KM Sabu, TKM Kumar - Procedia Computer Science, 2020 - Elsevier
The fluctuations in prices of agricultural commodities have an adverse effect on the GDP of a
country. The farmers are emotionally and financially affected as their years of hard work go …

STL-ATTLSTM: vegetable price forecasting using STL and attention mechanism-based LSTM

H Yin, D Jin, YH Gu, CJ Park, SK Han, SJ Yoo - Agriculture, 2020 - mdpi.com
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 …

Forecasting agricultural commodity prices using dual input attention LSTM

YH Gu, D Jin, H Yin, R Zheng, X Piao, SJ Yoo - Agriculture, 2022 - mdpi.com
Fluctuations in agricultural commodity prices affect the supply and demand of agricultural
commodities and have a significant impact on consumers. Accurate prediction of agricultural …

[HTML][HTML] Oil-price forecasting based on various univariate time-series models

GA Tularam, T Saeed - American Journal of Operations Research, 2016 - scirp.org
Time-series-based forecasting is essential to determine how past events affect future events.
This paper compares the performance accuracy of different time-series models for oil prices …

Development of a predictive model for agave prices employing environmental, economic, and social factors: towards a planned supply chain for agave-tequila industry

WM Warren-Vega, DE Aguilar-Hernández… - Foods, 2022 - mdpi.com
The interest of consumers to acquire Tequila has caused an increase in its sales. As
demand increases, the Tequila industry must obtain its raw material at a constant rate and …

Price forecasting of tomatoes

AA Reddy - International Journal of Vegetable Science, 2019 - Taylor & Francis
Due to the perishable nature of tomato (Solanum lycopersicum L.), price fluctuates based on
supply and demand. It is necessary to forecast harvest period tomato prices, so growers can …

A heterogeneous graph enhanced LSTM network for hog price prediction using online discussion

K Ye, Y Piao, K Zhao, X Cui - Agriculture, 2021 - mdpi.com
Forecasting the prices of hogs has always been a popular field of research. Such
information has played an essential role in decision-making for farmers, consumers …

Forecasting of tomatoes wholesale prices of Nairobi in Kenya: time series analysis using SARIMA model

RM Mutwiri - 2019 - repository.seku.ac.ke
Price forecasting is more sensitive with vegetable crops due to their high nature of
perishability and seasonality and is often used to make better-informed decisions and to …