Evaluation of the Current Situation of Tea Production and Consumption in Bangladesh Through Different Statistical Models

Authors

  • Md Abdus Salam Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
  • Parvej Hasan Jon Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
  • Iftekhar Ahmad Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
  • Mahbub Alam Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
  • Mohammed Taj Uddin Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh
  • Hafijur Rahman Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
  • Md Ismail Haque Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
  • Md Zahidul Islam Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
  • Mitu Samadder Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, Bangladesh

DOI:

https://doi.org/10.3329/jbs.v31i2.74143

Keywords:

GPR, Forecasting, Residuals analysis, Trend Analysis, Tea consumption and production

Abstract

Tea is considered a valuable non-alcoholic beverage worldwide and is gaining popularity as a healthy drink due to its multifarious medicinal properties. The tea industry is a pivotal economic driver of Bangladesh with rising production and consumption. Several statistical models were used to anticipate the best-fitted model and pattern of production and consumption until 2025. Data collected from numerous authentic sources and analyzed. Rational Quadratic Gaussian Process Regression (GPR) and Quadratic Support Vector Machines (SVM) models were chosen for tea production and consumption respectively based on RMSE and R-Square value. In 2022, this study predicts tea production to be 93.83 millon kg and consumption to be 98.48 million kg while intersecting each other. Our study suggests an existing gap in the production and consumption trend and this issue needs to be addressed imperatively.Tea is considered a valuable non-alcoholic beverage worldwide and is gaining popularity as a healthy drink due to its multifarious medicinal properties. The tea industry is a pivotal economic driver of Bangladesh with rising production and consumption. Several statistical models were used to anticipate the best-fitted model and pattern of production and consumption until 2025. Data collected from numerous authentic sources and analyzed. Rational Quadratic Gaussian Process Regression (GPR) and Quadratic Support Vector Machines (SVM) models were chosen for tea production and consumption respectively based on RMSE and R-Square value. In 2022, this study predicts tea production to be 93.83 millon kg and consumption to be 98.48 million kg while intersecting each other. Our study suggests an existing gap in the production and consumption trend and this issue needs to be addressed imperatively.

J. Bio-Sci. 31(2): 25-34, 2023

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Published

2024-07-04

How to Cite

Salam, M. A. ., Jon, P. H., Ahmad, I., Alam, M. ., Uddin, M. T. ., Rahman, H. ., Haque, M. I. ., Islam, M. Z. ., & Samadder, M. (2024). Evaluation of the Current Situation of Tea Production and Consumption in Bangladesh Through Different Statistical Models. Journal of Bio-Science, 31(2), 25–34. https://doi.org/10.3329/jbs.v31i2.74143

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