This repository contains the code and circuits for a smart farming system using IoT. The circuits are simulated in Proteus Design Suite and artificial conditions are simulated using python. The system also comprises of an application that finally outputs the data and provides the farmer with an insight regarding his farmland.
- Automatic irrigation based on soil moisture
- Crop suggestion using Deep Learning
- Natural disaster alert
- Fertiliser prediction
- Soil quality monitoring
- Proteus Design Suite
- Arduino
- Python
- Google Firebase
- Bravo Studio
- Figma
DHT (Adafruit Sensor Library): Version 1.1.1
ipinfo : To get the location of user from IP Address
random : To generate random values for the proteus circuit