Forecasting seasonally fluctuating sales of perishable products in the horticultural industry-Reference-Cited by-同舟云学术

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Forecasting seasonally fluctuating sales of perishable products in the horticultural industry

Published:2024-09 Issue: Volume:249 Page:123438
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Eiglsperger Josef^ORCID,Haselbeck Florian^ORCID,Stiele Viola,Serrano Claudia Guadarrama^ORCID,Lim-Trinh Kelly^ORCID,Menrad Klaus^ORCID,Hannus Thomas^ORCID,Grimm Dominik G.^ORCID

Funder

Bundesanstalt für Landwirtschaft und Ernährung

Leibniz-Rechenzentrum

Bundesministerium für Ernährung und Landwirtschaft

Federal Ministry of Food and Agriculture

Publisher

Elsevier BV

Reference56 articles.

1. Optuna: A next-generation hyperparameter optimization framework;Akiba,2019

2. Application of SARIMAX model to forecast daily sales in food retail industry;Arunraj;International Journal of Operations Research and Information Systems,2016

3. Consumer preferences of sustainability labeled cut roses in Germany;Berki-Kiss;Sustainability,2019

4. Pattern recognition and machine learning;Bishop,2006

5. Kaggle forecasting competitions: An overlooked learning opportunity;Bojer;International Journal of Forecasting,2021

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