AgriCast-Sylhet: A Weather-Driven Agricultural Price Forecasting Time-Series Dataset

Published: 14 May 2026| Version 1 | DOI: 10.17632/867kdtn78c.1
Contributors:
Nirab Debnath,

Description

AgriCast-Sylhet: A Weather-Driven Agricultural Price Forecasting Time-Series Dataset is a multivariate agricultural market dataset developed for time-series forecasting and predictive analytics in the Sylhet region of Bangladesh. The dataset integrates historical agricultural commodity prices with meteorological variables to support research in agricultural informatics, climate-aware forecasting, machine learning, and deep learning applications.

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Categories

Agricultural Economics, Machine Learning, Time Series Analysis, Deep Learning

Related Links

Article
https://ieeexplore.ieee.org/document/11491488
is related to this dataset

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