Predicting Exports Using Time Series and Regression Trend Lines: Brazil and Germany Competition in Green and Roasted Coffee Industry - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. IFIP WG 5.7 International Conference. Part II Access content directly
Conference Papers Year : 2021

Predicting Exports Using Time Series and Regression Trend Lines: Brazil and Germany Competition in Green and Roasted Coffee Industry

Abstract

Trade is essential for countries development. In Brazil, coffee has been one of the most important export items and by large is commercialized as a green or roasted bean. The aim of this article is to establish a prediction mode for coffee exports using time series and trend lines. To do so, we collected the exportation volume from the two main export countries in each segment: Brazil and Germany. A five-year forecasting was produced using regression curves provided by Microsoft Excel. Our results indicated that polynomial fits best and this function is consistent with agricultural production that is conditioned to edaphoclimatic factors.
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hal-04117678 , version 1 (05-06-2023)

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Paula Cruz Correia, João Reis, Emerson Rodolfo Abraham, Jaqueline Costa. Predicting Exports Using Time Series and Regression Trend Lines: Brazil and Germany Competition in Green and Roasted Coffee Industry. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.630-636, ⟨10.1007/978-3-030-85902-2_67⟩. ⟨hal-04117678⟩
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