association-rosia/crop-forecasting
Predicting rice field yields through the integration of Microsoft Planetary satellite images, meteorological data, and field information in the 2023 EY Open Science Data Challenge - Crop Forecasting.
This project helps agricultural organizations predict rice field yields. It takes satellite imagery, weather data, and specific field information as input to estimate harvest outcomes. This tool is useful for crop scientists, agricultural planners, and large-scale farm managers who need to forecast rice production.
No commits in the last 6 months.
Use this if you need to accurately predict rice crop yields using satellite and meteorological data to inform agricultural planning.
Not ideal if you are looking to predict yields for crops other than rice or if you lack access to satellite imagery and detailed meteorological data.
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24
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3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 16, 2024
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