English(EN) Forecasting Weather-Driven Price Dynamics Across Sri Lankan Tea Market Catalogues

AI模型预测天气对斯里兰卡茶叶价格的影响

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-27 04:00

研究人员开发了一个新颖的数据集并应用机器学习模型来预测斯里兰卡茶叶市场中受天气驱动的价格动态。通过分析来自经纪人报告和天气模式的四种主要茶叶目录——高地茶、低地茶、等外茶和茶末——的研究发现，虽然市场动态是主要驱动因素，但天气条件显著影响价格。具体而言，低地茶对降水和日照敏感，而等外茶和茶末对温度变化有反应。研究得出结论，特定目录的建模，特别是使用LightGBM，优于统一方法，为茶叶行业提供了更精确的预测框架。 AI

影响通过将天气数据与特定目录的机器学习模型相结合，为茶叶行业提供了更精确的预测框架。

排序理由学术论文，详细介绍了新颖的数据集和机器学习模型在特定领域的应用。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Hesandi Mallawarachchi, Senilka Madurapperumage, Nadil Kulathunge, Thilokya Angeesa, Nethsith Gunaweera, Sandeepa Weerasekara, Patalee Narasinghe, Nisansa de Silva, Sandareka Wickramanayake · 2026-08-27 04:00

预测斯里兰卡茶叶市场目录中受天气驱动的价格动态

arXiv:2608.24894v1 Announce Type: cross Abstract: The Colombo Tea Auction (CTA) plays a vital role in determining global tea prices, yet the relationship between local weather conditions and price behavior across different tea catalogues has not been thoroughly explored. In this …

本文如何被排名

报道来源 [1]

预测斯里兰卡茶叶市场目录中受天气驱动的价格动态

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