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IoT machine learning applications in telecom, energy, and agriculture with Raspberry Pi and Arduino using Python

Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section s...

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Bibliographic Details
Main Author: Mathur, Puneet
Format: eBook
Language:English
Published: [United States] Apress 2020
Subjects:
Machine Learning / Bicssc
Internet Des Objets
Programming & Scripting Languages: General / Bicssc
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Computer Programming / Software Development / Bicssc
Computers / Programming Languages / Python / Bisacsh
Machine Learning / Fast
Computers / Hardware / General / Bisacsh
Apprentissage Automatique
Computers / Intelligence (ai) & Semantics / Bisacsh
Internet Of Things / Http://id.loc.gov/authorities/subjects/sh2013000266
Internet Of Things / Fast
Computer Hardware / Bicssc
Computers / Programming / Open Source / Bisacsh
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and index
  • CHAPTER 1: Getting Started: Software and Hardware Needed
  • CHAPTER 2: Overview of IoT and IIoT
  • CHAPTER 3: Using Machine Learning with IoT and IIoT in Python
  • CHAPTER 4: Using Machine Learning and IoT in Telecom, Energy, and Agriculture
  • CHAPTER 5: Preparing for the Case Studies
  • CHAPTER 6: Configuring IIoT Energy Meter
  • CHAPTER 7: Telecom Industry Case Study: Solving the Problem of Call Drops with IoT
  • CHAPTER 8: Energy Industry Case Study: Predictive Maintenance for an Industrial Machine
  • CHAPTER 9: Agriculture Industry Case Study: Predicting a Cash Crop Yield

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