https://github.com/prince-c11/crop_recommendation_api

A crop recommendation API using a machine learning with an accuracy of 99.18%.
https://github.com/prince-c11/crop_recommendation_api

api crop-recommendation flask-api machine-learning project random-forest

Last synced: 4 days ago
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A crop recommendation API using a machine learning with an accuracy of 99.18%.

• Host: GitHub
• URL: https://github.com/prince-c11/crop_recommendation_api
• Owner: prince-c11
• Created: 2024-01-11T22:54:11.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-03T14:03:50.000Z (4 months ago)
• Last Synced: 2024-11-21T18:27:40.027Z (2 months ago)
• Topics: api, crop-recommendation, flask-api, machine-learning, project, random-forest
• Language: Python
• Homepage:
• Size: 404 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Crop Recommendation API

This project implements a crop recommendation system using a Random Forest classifier with an accuracy of 99.18%. It is deployed and accessible at [cropok-production.up.railway.api](https://cropok-production.up.railway.app). 

Now, URL is not working because free trial limit is exceeded.

## Features

- Utilizes Random Forest algorithm for accurate crop recommendations.

- Converts the model into a Flask API for easy integration.

## Input Parameters

- Nitrogen

- Phosphorus

- Potassium

- Temperature

- Humidity

- Ph

## Note

The API is currently not working due to the free trial limit being exceeded. You are free to deploy and use it in your own environment.