Learn how to build your own Aeroponics system and control it remotely using a web dashboard
IOT enabled Aeroponics using Raspberry Pi 3 is an intermediate course on the newly launched Raspberry Pi 3. The course is ideal for those who want to explore the possibilities of Raspberry Pi in the field of agriculture. This course will take your intermediate coding skills to the next level. The course covers two projects.
What you’ll learn
- Learn about the newly launched Raspberry Pi 3.
- Learn how to configure and use the on-board WIFI and the Bluetooth module.
- Get to know how to build flow meter using Raspberry Pi and measure the flow rate or quantity of a gas or liquid moving through a pipe.
- Stepwise process to build the Aeroponics system.
- Learn to connect Raspberry Pi and the sensors to IoT cloud platform.
- Remotely visualize the data on the dashboard and take action depending on the report.
- Remotely switch ON & OFF the mist machine to control the humidity level.
Course Content
- Introduction –> 3 lectures • 4min.
- Flow Meter –> 5 lectures • 8min.
- Aeroponics –> 16 lectures • 32min.
Requirements
IOT enabled Aeroponics using Raspberry Pi 3 is an intermediate course on the newly launched Raspberry Pi 3. The course is ideal for those who want to explore the possibilities of Raspberry Pi in the field of agriculture. This course will take your intermediate coding skills to the next level. The course covers two projects.
In the first project, you will learn how to program the flow sensor to measure exactly one or more litres of liquid or gas. This can be implemented in any project where you want to know the consumption day by day.
Going forward you will learn how to program the small LCD screen and display the dynamic data. Once you are done with it, we will proceed to our major project Aeroponics system. In this, you will learn how to build the system from the ground up and control it remotely using the Raspberry Pi.
You will also learn how to integrate with the IoT platform and control the entire system remotely. You will have a dashboard where you can visualize the data in the form of a graph, table, gauge meter, etc. Apart from that, you can also control the mist machine by turning ON and OFF through a virtual switch on your dashboard. This will be a fun project, and you will learn to program for Internet of Things.
The course provides the complete source code of both the projects.
The entire course can be completed over a fortnight, including the hardware assembly and coding in Python programming.
By the end of this course, you will have enough knowledge about the Aeroponics system and how to implement in the real time scenario.