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GitHub / 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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/association-rosia%2Fcrop-yield-estimate
Stars: 3
Forks: 1
Open Issues: 0
License: mit
Language: Python
Repo Size: 22 MB
Dependencies:
14
Created: 8 months ago
Updated: 2 months ago
Last pushed: 2 months ago
Last synced: 2 months ago
Topics: catboost, crop-yield-prediction, digital-green-crop-yield-estimate-challenge, lightgbm, machine-learning, wandb, xgboost, zindi-competition
Files
Dependencies
- GPUtil *
- be-great *
- catboost *
- imbalanced-learn *
- jupyter *
- lightgbm *
- matplotlib *
- numpy *
- pandas *
- plotly *
- scikit-learn ==1.2
- umap-learn *
- wandb *
- xgboost *