Molemi IoT
  • Space farming using food computers for sustainable farming
  • Introduction to Arduino
    • Introduction to Electronics
    • The Breadboard
  • Controlling LEDs with an Arduino
    • The Code
    • Adding a button to control the LEDs
      • The Code
  • Introducing Sensors
    • The CO2 and air quality sensor
    • The Code
      • Explaining the Code
    • Light Intensity Sensor
  • Introducing the NodeMCU
    • Getting Started
      • A simple test for ESP8266
        • The Code
    • A light bulb switch using NodeMCU and the Blynk app
      • Setup Blynk on your Smartphone
      • The Code
    • Controlling a Centurion gate Motor with NodeMCU a 2-channel relay
      • Installing Blynk in Arduino IDE
    • Read and display the water flow sensor on Blynk
      • Setting up Blynk
      • The Code
        • Explaining the code
    • Read and Display temperature sensor readings with NodeMCU.
      • Installing libraries for DS18B20 temperature sensor.
      • Displaying the sensor readings on the serial port
        • Getting temperature readings from different DS18B20 sensors.
          • The Code
            • Display sensor readings on a web server
              • Build the web server
                • Designing and building the web page
                • The Code
    • Display the DHT11 sensor reading on a web server using NodeMCU.
      • Monitoring Room Temp & Humidity using Blynk
      • Installing DHT library on the ESP8266
        • Installing the Asynchronous Web Server library
          • The Code
          • Designing and building the web page
  • Data Science for Farming
    • Getting Started with Colaboratory
    • Introduction to Python for DS using Colab
  • Machine Learning for Farming
  • Molemi Personal Food Computer
    • Bill of Materials
  • Setting up WaziGate on a Raspberry Pi
  • Setting up DHT11 on Raspberry Pi
  • Using Telegram To Control Outputs
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  • Internet of Things
  • Data Science

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Space farming using food computers for sustainable farming

These are the learning materials and curriculum that will be used for the hands-on workshop: Applications of Internet of Things(IoT), Data Science and Machine Learning (ML) for sustainable farming.‌

The curriculum aims at introducing different digital skills for the 21st century. This includes the Internet of Things (IoT), Machine Learning (ML) and Data Science. The participants are encouraged to apply their newly acquired skills to build food computers that will be used to grow crops. This will be a great project to learn about methods that can be used for sustainable farming as an answer to combating the effects of global climate change.‌

Internet of Things

‌The participants will get to learn the basics of Arduino and Raspberry. We will also introduce the basics of programming, the different sensors that will be used in this project and how to connect them to micro-controllers and control them remotely via a smartphone.‌

Data Science

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NextIntroduction to Arduino

Last updated 5 years ago

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