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

Md Abdus Salam, Parvej Hasan Jon, Iftekhar Ahmad, Mahbub Alam, Mohammed Taj Uddin, Hafijur Rahman, Md Ismail Haque, Md Zahidul Islam, Mitu Samadder
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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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通过不同统计模型评估孟加拉国茶叶生产和消费现状
茶叶被认为是世界上一种珍贵的非酒精饮料,由于其多种药用特性,茶叶作为一种健康饮品正日益受到人们的欢迎。随着产量和消费量的不断增长,茶叶产业已成为孟加拉国经济发展的重要推动力。我们使用了多个统计模型来预测 2025 年前的最佳拟合模型以及生产和消费模式。从大量真实来源收集数据并进行分析。根据 RMSE 和 R 平方值,分别为茶叶生产和消费选择了有理四元高斯过程回归(GPR)和四元支持向量机(SVM)模型。本研究预测 2022 年茶叶产量为 9,383 万公斤,消费量为 9,848 万公斤,两者相交。我们的研究表明,生产和消费趋势之间存在差距,这一问题亟待解决。茶叶被认为是世界上一种珍贵的非酒精饮料,由于其多种药用特性,它作为一种健康饮品正日益受到欢迎。随着产量和消费量的不断增长,茶叶产业已成为孟加拉国经济发展的重要推动力。我们使用了多个统计模型来预测 2025 年前的最佳拟合模型以及生产和消费模式。从大量真实来源收集数据并进行分析。根据 RMSE 和 R 平方值,分别为茶叶生产和消费选择了有理四元高斯过程回归(GPR)和四元支持向量机(SVM)模型。本研究预测 2022 年茶叶产量为 9,383 万公斤,消费量为 9,848 万公斤,两者相交。我们的研究表明,生产和消费趋势之间存在差距,这一问题亟待解决:25-34, 2023
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