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    Iot Enabled Aeroponics Using Raspberry Pi 3

    Posted By: ELK1nG
    Iot Enabled Aeroponics Using Raspberry Pi 3

    Iot Enabled Aeroponics Using Raspberry Pi 3
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 211.37 MB | Duration: 0h 44m

    Learn how to build your own Aeroponics system and control it remotely using a web dashboard

    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
    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.

    Overview

    Section 1: Introduction

    Lecture 1 What will you learn in this course

    Lecture 2 The new Raspberry Pi 3

    Lecture 3 Setting up the on-board Bluetooth on your Raspberry Pi 3

    Section 2: Flow Meter

    Lecture 4 Project concept and the hardware requirements

    Lecture 5 Circuit diagram - Flow sensor connection

    Lecture 6 Programming the flow sensor

    Lecture 7 Real time demonstration : Flow meter

    Lecture 8 Complete Source Code

    Section 3: Aeroponics

    Lecture 9 Concept behind Aeroponics system

    Lecture 10 Hardware requirements and design of the Aeroponics system

    Lecture 11 Circuit diagram - LCD connection with the GPIO pins

    Lecture 12 Table - LCD and the GPIO pins mapping

    Lecture 13 Understanding and programming the 16x2 LCD

    Lecture 14 16x2 LCD Real time demonstration

    Lecture 15 Complete Source Code

    Lecture 16 Circuit diagram - Aeroponics

    Lecture 17 Choosing the right IoT gateway

    Lecture 18 Designing the Dashboard

    Lecture 19 IoT : Back-end configuration in Raspberry Pi

    Lecture 20 Aeroponics programming : Initializing the API

    Lecture 21 Aeroponics programming : Controlling the mist machine

    Lecture 22 Live Dashboard

    Lecture 23 Real time demonstration Aeroponics

    Lecture 24 Complete Source Code

    This course is for anyone who wish to explore Raspberry Pi in the field of Agriculture and wants to know in depth about IoT