Coffee Demand Forecasting
Coffee Demand Forecasting is a predictive analytical method within agricultural commodity management that specifically estimates future market demand for coffee by integrating historical consumption patterns, price dynamics, climatic variables, and socioeconomic factors to inform production, pricing, and distribution strategies.
15
Publications
555
Citations
31
Authors
20
Institutions
Publications per year
2017–2026
9
Parents
15
Machine Learning Coffee Price Predictions
Bingzi Jin · Journal of Uncertain Systems · 2024 · 120 citations
Ibon Galarraga, Anil Markandya · Economía Agraria y Recursos Naturales · 2011 · 70 citations · Full text
1–5 of 15
31
1 publications · 36 citations
1
h-index
1 publications · 36 citations
1
h-index
National Taiwan University of Science and Technology, Taiwan
1 publications · 18 citations
1
h-index
1
h-index
1
h-index
1–5 of 31
20
University of Sheffield
Sheffield, United Kingdom
1 h-index
1 publications
24 citations

Agricultural & Applied Economics Association
Milwaukee, United States
1 h-index
1 publications
69 citations
North Carolina State University
Raleigh, United States
1 h-index
1 publications
120 citations
Instituto de Ciencias Agrarias
Madrid, Spain
1 h-index
4 publications
88 citations

University of Bath
Bath, United Kingdom
1 h-index
1 publications
70 citations

Banaras Hindu University
Varanasi, India
1 h-index
4 publications
88 citations

University of Economics Varna
Varna, Bulgaria
1 h-index
2 publications
42 citations

Universidad del Rosario
Bogotá, Colombia
1 h-index
1 publications
24 citations
1–8 of 20
2 publications · 25 citations
2
h-index
JUS · 1 publications · 120 citations
1
h-index
1 publications · 24 citations
1
h-index
1 publications · 36 citations
1
h-index
1 publications · 69 citations
1
h-index
1–5