
This lecture describes the overview of the entire course
This lecture describes in detail the hardware configuration of the newly launched Raspberry Pi 3 and how it different from its previous model Raspberry Pi 2
This document clearly explain in detail how to set-up the on-board Bluetooth on your Raspberry Pi
By the end of this lecture you will learn the concept of the hall effect sensor and the hardware requirements to build a flow meter
This circuit diagram represent how to connect the flow sensor to the GPIO pins of the Raspberry Pi and get the readings
This lecture describes how to connect the flow sensor to the GPIO pins of the Raspberry Pi and program to measure liquid or gas in litres
This lecture demonstrate the real time testing of the flow meter
This lecture contains the complete source code of the entire project
This lecture describes how Aeroponics is different from Hydroponics and traditional growing of plants
This lecture describes the complete hardware requirements to assemble Aeroponics system step by step
This diagram describes how to connect the LCD module to the GPIO pins of the Raspberry Pi
Many students face problems with the complex wiring diagram. Hence, we have created a mapping table which shows how to connect the LCD pins with the GPIO pins of the Raspberry Pi
The lecture describes how to program the 16x2 LCD and display the dynamic data
Real time video demonstration with the output of the dynamic data
This lecture contains the complete source code of the entire project
This diagram clearly demonstrate how to assemble the different hardware components required for the Aeroponics system
This lecture describes the easiest Internet of Things platform to connect with the Raspberry Pi
This lecture demonstrate how to use different widgets to see the output of the sensors connected to the Raspberry Pi
This lecture describes how to configure the webserver API on the Raspberry Pi to display updated data on the web dashboard
This lecture describe how to write Aeroponics programming in Python and configure the resources to display the data in the web dashboard
This lecture describe how to code in Python to control the GPIO pins which are connected to the sensors of the Aeroponics system
This lecture describes the step wise process to visualize the status of the connected sensors in the web dashboard
The lecture demonstrates the real time output of the Aeroponics System
This lecture contains the complete source code of the entire project
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.