Smart Green

Introduction

Smart Green is a web application that provides real time monitoring of farming fields. It's a dashboard of a 3 layers systems that is connected to a data collection layer, consists of Raspberry Pi and Arduino. The dashboard allows users to visualize in real time data retrieved from the field (forcast and soil properties), it also provides access to a database of historical data, and the most important service is predicting land suitability based on the retrieved data.

Technologies

• Python 3.8: We used Python for creating the app and the deep learning model (LSTM).
• Django: the app was developed using Django, which is a python based framework.
• Chart.js: For creating plots and charts, we used the Chart.js

Run

Add Bootstrap 4

Download Bootstrap 4 and Font Awesome and place them under the sg_home\static\.

Download required libraries

pip install pandas tensorflow django uvicorn kafka-python

Run application through Uvicorn backend server

uvicorn smart_green.asgi:application

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Real time data visualization

Historical data visualization

Land Suitability prediction

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Main author: Chems Eddine Senoussi