https://github.com/crhistianve/soil-crop-recommendation-models
This repository contains pre-trained machine learning models for crop recommendation based on soil and environmental parameters. The models help predict the best crop to grow based on nitrogen, phosphorus, potassium levels, temperature, humidity, pH, and rainfall data.
https://github.com/crhistianve/soil-crop-recommendation-models
agriculture agritech crop-recommendation-system data-science flask flask-application machine-learning numpy pandas python random-forest seaborn soil-analysis xgboost
Last synced: 2 months ago
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This repository contains pre-trained machine learning models for crop recommendation based on soil and environmental parameters. The models help predict the best crop to grow based on nitrogen, phosphorus, potassium levels, temperature, humidity, pH, and rainfall data.
- Host: GitHub
- URL: https://github.com/crhistianve/soil-crop-recommendation-models
- Owner: CrhistianVE
- License: mit
- Created: 2025-04-01T06:06:16.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-04-01T08:15:31.000Z (6 months ago)
- Last Synced: 2025-04-01T08:21:55.074Z (6 months ago)
- Topics: agriculture, agritech, crop-recommendation-system, data-science, flask, flask-application, machine-learning, numpy, pandas, python, random-forest, seaborn, soil-analysis, xgboost
- Size: 4.03 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0