smartinternz02 / SBSPS-Challenge-5238-AI-Assisted-Farming-for-Crop-Recommendation-Farm-Yield-Prediction-Application

Team - AgriOracle - IBM Hack Challenge 2021 - AI-Assisted Farming for Crop Recommendation & Farm Yield Prediction Application

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IBM Hack Challenge - 2021

Team Name - AgriOracle
Problem Title - AI-Assisted Farming for Crop Recommendation & Farm Yield Prediction Application

Team Members

Demo

Installation - Backend

Create Python Virtual Env

  python3 -m venv env

Install the Required Dependencies

  pip3 install -r requirements.txt

Activate the Environment

  source env/bin/activate

Create a config.py file with database_uri in app directory

Run the App

  python3 run.py

Installation - Frontend

Install the Required Dependencies

  npm i

Run the Project

  npm start

Features

  • Crop Recommendation
  • Crop Yield Prediction
  • Crop Price Prediction
  • Crop Monitoring based on Satellite Image
  • User can make their own Personal Model
  • User can use our 3rd Party REST API Services

Screenshots

| 1. Crop Recommendation |

App Screenshot | 2. Crop Recommendation extra information |

App Screenshot | 3. Crop Yield Prediction |

App Screenshot | 4. Crop Price Prediction | App Screenshot

About

Team - AgriOracle - IBM Hack Challenge 2021 - AI-Assisted Farming for Crop Recommendation & Farm Yield Prediction Application


Languages

Language:Python 49.1%Language:JavaScript 45.7%Language:SCSS 3.2%Language:HTML 1.2%Language:CSS 0.8%