Coverart for item
The Resource IoT machine learning applications in telecom, energy, and agriculture : with Raspberry Pi and Arduino using Python, Puneet Mathur

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

Label
IoT machine learning applications in telecom, energy, and agriculture : with Raspberry Pi and Arduino using Python
Title
IoT machine learning applications in telecom, energy, and agriculture
Title remainder
with Raspberry Pi and Arduino using Python
Statement of responsibility
Puneet Mathur
Creator
Subject
Genre
Language
eng
Summary
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 starts with an examination of call drop with IoT in the telecoms industry, followed by a case study on energy audit and predictive maintenance for an industrial machine, and finally covers techniques to predict cash crop failure in agribusiness. The last section covers pitfalls to avoid while implementing machine learning and IoT in these domains. After reading this book, you will know how IoT and machine learning are used in the example domains and have practical case studies to use and extend. You will be able to create enterprise-scale applications using Raspberry Pi 3 B+ and Arduino Mega 2560 with Python. You will: Implement machine learning with IoT and solve problems in the telecom, agriculture, and energy sectors with Python Set up and use industrial-grade IoT products, such as Modbus RS485 protocol devices, in practical scenarios Develop solutions for commercial-grade IoT or IIoT projects Implement case studies in machine learning with IoT from scratch
Member of
Cataloging source
YDX
http://library.link/vocab/creatorName
Mathur, Puneet
Dewey number
004.67/8
Index
index present
LC call number
TK5105.8857
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/subjectName
  • Internet of things
  • Machine learning
  • Programming & scripting languages: general
  • Computer programming / software development
  • Computer hardware
  • Machine learning
  • Computers
  • Computers
  • Computers
  • Computers
  • Internet of things
  • Machine learning
Label
IoT machine learning applications in telecom, energy, and agriculture : with Raspberry Pi and Arduino using Python, Puneet Mathur
Instantiates
Publication
Note
Includes index
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
1154332931
Dimensions
unknown
Extent
1 online resource
Form of item
online
Isbn
9781484255490
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 10.1007/978-1-4842-5
  • 10.1007/978-1-4842-5549-0
http://library.link/vocab/ext/overdrive/overdriveId
com.springer.onix.9781484255490
Specific material designation
remote
System control number
(OCoLC)1154332931
Label
IoT machine learning applications in telecom, energy, and agriculture : with Raspberry Pi and Arduino using Python, Puneet Mathur
Publication
Note
Includes index
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
1154332931
Dimensions
unknown
Extent
1 online resource
Form of item
online
Isbn
9781484255490
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 10.1007/978-1-4842-5
  • 10.1007/978-1-4842-5549-0
http://library.link/vocab/ext/overdrive/overdriveId
com.springer.onix.9781484255490
Specific material designation
remote
System control number
(OCoLC)1154332931

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
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