TRINIT_594092-U315F9MO_ML - AGROVISION

AgroVision is an innovative project aimed at revolutionizing the way farmers choose crops and make decisions about their farming operations. With the use of cutting-edge technology and machine learning algorithms, AgroVision provides farmers with a comprehensive and accurate picture of their farm's potential. This includes soil analysis, location-based data, and rainfall information, which can be used to determine the most suitable crops for a given area.

Features of the Project

1. Crop Prediction based on Locality and seasons.
2. Crop Prediction based on the soil fertility
3. Crop Price Prediction.

Project is live at : https://agrovision-trinit.netlify.app/

API's of our project.

You can find API's here:

Base URL: https://santhosh2211.pythonanywhere.com/

List of API's

1. GET /api/soilcrop - Provides optimum soil conditions for each crop.
2. POST /api/soilcrop - It takes soil Nutrients as a parameter and predicts suitable and alternative crops.
3. GET /api/cropanalysis - Provides top most crops grown in states of India. (Note: Crops array be more than 10 in some cases)
4. POST /api/croplocation - Crop prediction based on locality and season.
5. GET /api/getlocations - List of state-wise districts that are used in our project.
6. GET /api/cropprice - Provides Top5, Bottom5 crops of this month and also Six months forecaster.
7. GET /api/cropprice/<cropname> - Analytics of individual crop.

Interface of the project.

Crop Prediction based on locality and seasons.

Crop prediction based on soil fertility

Crop Analytics.

Individual Crop Prediction - Ex: Wheat