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This repository contains a course project done in the course titled "Advanced Business Analytics" as a part of Denmark Technical University (DTU)

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aryamaansaha/time-series-coffee

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Temperature Forecasting using Time Series Methods

Climate change has impacted the coffee production in Brazil, the world's largest coffee producer. Arabica, the most popular variety of coffee, is under the risk of declining yield and quality due to global changes in temperature. Temperatures between 18°C and 22°C is the ideal climatic condition for arabica coffee production. Agricultural areas with average annual temperature above 24 °C are found to be unsuitable for Arabica production.

In this project, we analyze and forecast temperatures in two regions in Brazil with the help of seasonal ARIMA and LSTM models, to obtain some insight on the influence of changing temperatures on the coffee industry.

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This repository contains a course project done in the course titled "Advanced Business Analytics" as a part of Denmark Technical University (DTU)

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