IoT Machine Learning Applications in Telecom, Energy, and Agriculture : With Raspberry Pi and Arduino Using Python

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. author (author)
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2020.
Edition:1st ed. 2020.
Subjects:
Machine learning.
Python (Computer program language).
Open source software.
Computer programming.
Computer input-output equipment.
Machine Learning.
Python.
Open Source.
Hardware and Maker.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630582606719
Table of Contents:
  • 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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