IoT enabled Aeroponics using Raspberry Pi 3
4.1 (31 ratings)
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IoT enabled Aeroponics using Raspberry Pi 3

Learn how to build your own Aeroponics system and control it remotely using a web dashboard
4.1 (31 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
320 students enrolled
Last updated 5/2016
English
Current price: $12 Original price: $95 Discount: 87% off
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Includes:
  • 44 mins on-demand video
  • 9 Articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

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What Will I 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
View Curriculum
Requirements
  • Basic knowledge of Python programming and Linux command
Description

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.

Who is the target audience?
  • This course is for anyone who wish to explore Raspberry Pi in the field of Agriculture and wants to know in depth about IoT
Compare to Other Raspberry Pi Courses
Curriculum For This Course
+
Introduction
3 Lectures 04:22

This lecture describes the overview of the entire course

Preview 02:37

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

The new Raspberry Pi 3
01:42

This document clearly explain in detail how to set-up the on-board Bluetooth on your Raspberry Pi 

Setting up the on-board Bluetooth on your Raspberry Pi 3
00:03

All questions are related to fundamentals of Raspberry Pi

Basic
3 questions
+
Flow Meter
5 Lectures 07:41

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

Preview 03:03

This circuit diagram represent how to connect the flow sensor to the GPIO pins of the Raspberry Pi and get the readings

Circuit diagram - Flow sensor connection
00:00

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

Programming the flow sensor
02:50

This lecture demonstrate the real time testing of the flow meter

Preview 01:44

This lecture contains the complete source code of the entire project

Complete Source Code
00:03

This quiz is based on the python programming

Programming
3 questions
+
Aeroponics
16 Lectures 32:15

This lecture describes how Aeroponics is different from Hydroponics and traditional growing of plants

Concept behind Aeroponics system
03:40

This lecture describes the complete hardware requirements to assemble Aeroponics system step by step

Hardware requirements and design of the Aeroponics system
05:47

This diagram describes how to connect the LCD module to the GPIO pins of the Raspberry Pi

Circuit diagram - LCD connection with the GPIO pins
00:00

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  

Table - LCD and the GPIO pins mapping
00:00

The lecture describes how to program the 16x2 LCD and display the dynamic data

Understanding and programming the 16x2 LCD
05:06

Real time video demonstration with the output of the dynamic data 

16x2 LCD Real time demonstration
00:25

This lecture contains the complete source code of the entire project

Complete Source Code
00:03

This diagram clearly demonstrate how to assemble the different hardware components required for the Aeroponics system

Circuit diagram - Aeroponics
00:00

This lecture describes the easiest Internet of Things platform to connect with the Raspberry Pi

Choosing the right IoT gateway
01:26

This lecture demonstrate how to use different widgets to see the output of the sensors connected to the Raspberry Pi 

Designing the Dashboard
03:35

This lecture describes how to configure the webserver API on the Raspberry Pi to display updated data on the web dashboard 

IoT : Back-end configuration in Raspberry Pi
02:58

This lecture describe how to write Aeroponics programming in Python and configure the resources to display the data in the web dashboard

Aeroponics programming : Initializing the API
01:34

This lecture describe how to code in Python to control the GPIO pins which are connected to the sensors of the Aeroponics system

Aeroponics programming : Controlling the mist machine
02:22

This lecture describes the step wise process to visualize the status of the connected sensors in the web dashboard

Live Dashboard
00:33

The lecture demonstrates the real time output of the Aeroponics System

Preview 04:41

This lecture contains the complete source code of the entire project

Complete Source Code
00:03

Questions are related to Aeroponics and its programming

Aeroponics
3 questions
About the Instructor
Venkatesh Varadachari
4.1 Average rating
746 Reviews
13,733 Students
32 Courses
Founder of ScratchNinja, PiWizards and Money-Wizards

Venkatesh Varadachari is the founder of Money-Wizards Global Pte Ltd, that owns the education brands Money-Wizards, PiWizards and Scratch Ninja.

Venkatesh believes that knowledge should be made available to people in all walks of life. Venkatesh also believes in the power of education to transform lives.

Venkatesh has an MBA from the prestigious Indian Institute of Management, Bangalore.

He also has a degree in Electrical Engineering from Madras University and a Masters in Financial Engineering from National University of Singapore.

Satyajeet .
4.0 Average rating
576 Reviews
9,095 Students
21 Courses
Senior Product Engineer - Technology

Satya is a passionate technology enthusiast and is excited about the possibility of impacting education through technology. Satya holds a Masters in Computer Applications from VIT, one of the premier engineering institutes in India. He is a product engineer and spends his time creating exciting courses around the credit card sized Raspberry Pi.