MohabWafaie/Study-of-the-Effects-of-Climate-Change-on-Crop-Yields
Prediction of crop yields based on climate variables using machine learning algorithms
This project helps agricultural planners, farmers, or policymakers predict crop yields. By inputting data on crop type, area, average rainfall, pesticide use, and average temperature, it forecasts the expected yield in hectograms per hectare. The tool is designed for anyone needing to understand future crop productivity based on climate and farming practices.
No commits in the last 6 months.
Use this if you need to anticipate future crop yields given specific climate conditions and agricultural inputs to inform planning or policy decisions.
Not ideal if you need to predict crop yields for individual plants or very small plot sizes, or if your data does not include the specified climate and input variables.
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14
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3
Language
Jupyter Notebook
License
MIT
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Last pushed
May 31, 2025
Commits (30d)
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