You're reading from Arduino IoT Cloud for Developers Implement best practices to design and deploy simple-to-complex projects at reduced costs

Product type Paperback

Published in Nov 2023

Publisher Packt

ISBN-13 9781837637171

Length 402 pages

Edition 1st Edition

Tools

Arduino

Concepts

IoT Development

Author (1):

Muhammad Afzal

View More author details

Table of Contents (21) Chapters

Preface

1. Part 1: Introduction to IoT and Communication Technologies and the Arduino IoT Cloud

2. Chapter 1: Introduction to the IoT and Arduino FREE CHAPTER

3. Chapter 2: First Look at the Arduino IoT Cloud

4. Chapter 3: Insights into the Arduino IoT Cloud Platform and Web Editor

5. Part 2: Getting Hands-On with Different Communication Technologies

6. Chapter 4: Project #1 – a Smarter Setup for Sensing the Environment

7. Chapter 5: Project #2 – Creating a Portable Thing Tracker Using MKR GSM 1400

8. Chapter 6: Project #3 – a Remote Asset Tracking Application with LoRaWAN

9. Part 3: Exchanging Data between Nodes and Cloud Applications

10. Chapter 7: Enabling Communication between Different Devices

11. Chapter 8: Working with the Arduino IoT Cloud SDK and JavaScript

12. Chapter 9: Project 4 – Collecting Data from the Soil and Environment for Smart Farming

13. Chapter 10: Project #6 – Making Your Home Smarter with a Voice Assistant

14. Part 4: Learning Advanced Features of the Arduino IoT Cloud and Looking Ahead

15. Chapter 11: Implementing the Arduino IoT Cloud Scheduler and Over-the-Air Features

16. Chapter 12: Project #6 – Tracking and Notifying about Your Heart Rate

17. Chapter 13: Scripting the Arduino IoT Cloud with Cloud CLI

18. Chapter 14: Moving Ahead in the Arduino IoT Cloud

19. Index

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Perfecting sensor calibration

Sensor calibration is a very important aspect of product development, especially when you have a plan to deploy your product in a real-time environment. So, before moving on, first we need to calibrate the capacitive soil moisture and DS18B20 sensors. The soil moisture sensor operation varies from area to area due to air humidity and water levels.

So firstly, we will calibrate the soil moisture sensor by taking the values of sensors in the air and then putting sensors in the water. These values will be used to bind the final readings and, finally, we will convert the soil moisture sensor value from 0 to 100% via the map method. The soil moisture sensor is an analog sensor, so there is no requirement for an extra helping library, except the ADS module library, which is shown in the following figure with the name Adafruit ADS1X15.