Crop Recommendation System

This project provides crop recommendations based on soil, weather, and location data using APIs such as Tomorrow.io for weather and Google Earth Engine for soil data.

Features

• Reverse geocoding with OpenStreetMap (Nominatim)
• Real-time weather data from Tomorrow.io
• Soil properties using Google Earth Engine (EE)
• Crop recommendation logic

Setup Instructions

1. Clone the repository

git clone  https://github.com/Atharv1patil/Crop-data-api.git
cd crop-recommendation-system

2. Create and activate a virtual environment

python -m venv venv
venv\Scripts\activate   # On Windows
source venv/bin/activate  # On Linux/Mac

3. Set up environment variables

Create a .env file in the root directory and add your API keys: I have already gave it to (env file)

TOMORROW_API_KEY=your_tomorrow_io_api_key
GOOGLE_APPLICATION_CREDENTIALS=path_to_your_service_account.json

4. Authenticate Google Earth Engine

Run the following once to authenticate:

import ee
ee.Authenticate() # only this 
ee.Initialize() # before this line not this one 

5. Run the project

python aa.py

Notes

• Make sure you have access to Google Earth Engine and have enabled necessary APIs in your Google Cloud project.
• First-time users must run ee.Authenticate() to link their Google account.

License

This project is licensed under the MIT License.