https://github.com/ben041/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/ben041/soil-crop-recommendation-models
agritech crop-recommendation-system data-science decision-trees joblib machine-learning naive-bayes-classifier python random-forest soil-analysis xgboost
Last synced: over 1 year ago
JSON representation
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/ben041/soil-crop-recommendation-models
- Owner: ben041
- License: mit
- Created: 2025-03-29T20:48:34.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-29T21:03:08.000Z (over 1 year ago)
- Last Synced: 2025-03-30T08:30:23.338Z (over 1 year ago)
- Topics: agritech, crop-recommendation-system, data-science, decision-trees, joblib, machine-learning, naive-bayes-classifier, python, random-forest, soil-analysis, xgboost
- Homepage:
- Size: 618 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0