Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms

The study aimed to describe and test machine learning (ML)‐based algorithms to evaluate the unit price of drinking milk. The algorithms were applied to the data collected over 8 years in 2014 and 2021 related to the price of drinking milk in Turkey. The economic, social, and environmental factors th...

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Veröffentlicht in:	Agribusiness (New York, N.Y.) N.Y.), 2023, Vol.39 (1), p.214-241
1. Verfasser:	Atalan, Abdulkadir
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Dairy industry Datasets Decision trees Drinking Economics Environmental factors factors Impact analysis Industrial development Learning algorithms Machine learning machine learning algorithms Mathematical analysis Milk milk price Neural networks prediction Root-mean-square errors Support vector machines Training
Online-Zugang:	Volltext
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