timko002 / adamsmartfarming

Project to read Soil, Atmospheric and Water Sensors and display predicted crops based on the values

ADAMSmartFarming

Features:

• Reads multiple sensor values from multiple microcontroller boards at once
• Charts sensor readings dynamically using MPAndroidChart
• Authentication through AWS cognito
• Displays crop suggestions powered by flask sever hosting ML algorithm
• Top 3 are our suggested crops to plant
• Provides sensor warnings based on the MQTT values
• Stores the prediction data locally on the app using an SQLite Database
• Custom Icons created through Adobe XD

Requires sensors to read the following:

• Soil NPK
• Soil PH
• Soil Moisture
• Water Turbidity
• Water PH
• Atmospheric Temperature
• Atmospheric Humidity

Corresponding MQTT tags can be seen in SerializableMqTTTypes.kt file

Additional Android Libraries Used in Project

• MPAndroidChart
  • For graphing the sensor readings
• OkHttp
  • Used for making requests to the flask server
• Material UI for the UI
• Kotlinx-Serialization
  • Serializing the JSON strings into data class objects
• AWS SDK for connecting the AWS IOT Core and receiving MQTT messages

Demonstration

Video Presentation

A video of our project can be found on google drive HERE