association-rosia/crop-yield-estimate
Harness the power of machine learning to forecast rice and wheat crop yields per acre in India, aiming to empower smallholder farmers, combat poverty and malnutrition, utilizing data from Digital Green surveys to revolutionize agriculture and promote sustainable practices in the face of climate change for enhanced global food security.
This project helps smallholder farmers in India estimate their potential rice and wheat crop yields per acre. By inputting data on farming practices and environmental conditions, it provides a prediction of expected crop output. This tool is designed for agricultural practitioners, farmers, and organizations supporting sustainable farming to make informed decisions and improve food security.
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Use this if you are an Indian smallholder farmer or agricultural aid worker looking for data-driven predictions of rice and wheat crop yields to help with planning and resource management.
Not ideal if you need yield predictions for crops other than rice or wheat, or for regions outside of India.
Stars
13
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 28, 2024
Commits (30d)
0
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