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A Comprehensive Study of Rice Production and Price in Bangladesh: Geospatial Visualization and Predictive Modeling Techniques.

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chloropleth decision-tree geospatial-analysis geospatial-visualization gridsearchcv heat-map lightgbm predictive-modeling ridge-regression spatio-temporal-analysis

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๐ŸŒพ Comprehensive Analysis of Rice Production and Price in Bangladesh ๐Ÿ“Š๐Ÿ‡ง๐Ÿ‡ฉ

Explore a detailed spatiotemporal study of rice production and pricing trends in Bangladesh from 1971 to 2022. This repository contains geospatial visualizations showcasing growth patterns, indigenous variations, and regional dynamics of rice cultivation. Comparative analysis of production and price trends offers valuable insights into the agricultural sector's dynamics.

๐Ÿ” Our investigation includes:

  • Geospatial heat charts and chloropleth maps for visualizing rice cultivation trends.
  • Comparative analysis of production and price dynamics over different time periods.
  • Predictive modeling using GridSearchCV, Ridge regression, Decision Tree, and LightGBM for accurate rice price prediction in 2021 and 2022.

๐Ÿ“ˆ Discover the significance of spatial factors in policy decisions and gain insights that can drive informed exploration and policy-making in the realm of rice production in Bangladesh.

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