Eco-fertilization is a rainfall-aware nutrient recommendation system designed to guide farmers in applying the right fertilizer mix for optimal crop growth while minimizing runoff and nutrient loss. Built with Flask and scikit-learn, it uses a random forest model trained on time-series rainfall and crop data to suggest optimal N-P-K ratios. The system provides alerts, integrates 7-day weather forecasts, and displays results in a browser via a local web server.
Eco-fertilization
Eco-fertilization
Eco-fertilization is a rainfall-aware nutrient recommendation system designed to guide farmers in applying the right fertilizer mix for optimal crop growth while minimizing runoff and nutrient loss. Built with Flask and scikit-learn, it uses a random forest model trained on time-series rainfall and crop data to suggest optimal N-P-K ratios...
Organization
GitHub user
Deployment Model
Edge
Agricultural Production Step
Fertilization
End User
Farmers, Advisors, Developers
Category
Used for
Crops
TRL
5-6
Community Engagement
Low
Number of Forks
8
Country
Universal
Disclamer
While every effort has been made to accurately record the licensing status and all other information presented, this catalogue is provided for informational purposes only. Users are strongly encouraged to verify these details—particularly the license terms and conditions—before adopting or integrating any solution, and to take special care when no explicit license is listed in the repository. The partners of the OpenAgri project make no representations or warranties of any kind, express or implied about the completeness, accuracy, reliability or suitability with respect to the interactive catalogue or the information, products, services or related graphics contained in the catalogue for any purpose. Any reliance you place on such material is therefore strictly at your own risk.