The Digital Age in Agriculture
eBook - ePub

The Digital Age in Agriculture

  1. 290 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

The Digital Age in Agriculture

About this book

The Digital Age in Agriculture presents information related to the digital age in the agriculture sector. Agriculture is an essential activity for the continuity of life, yet is very labor-intensive and faces a wide variety of challenges. In the struggle against these difficulties, the superior features offered by technology provide important benefits. These technologies require expertise in various technical disciplines, and The Digital Age in Agriculture provides information to readers allowing them to make more informed decisions and giving them the opportunity to improve agricultural productivity.

Written by Mehmet Metin Özgüven, an expert who has conducted field studies and with a working technical knowledge of various topics pertaining to the agriculture age, this book covers many subjects important to the age of digital agriculture, including precision agriculture and livestock farming, using agricultural robots and unmanned arial vehicles in agriculture practices, and image processing and machine vision. It is an essential read for researchers, agriculture sector workers, and agricultural engineers.

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Yes, you can access The Digital Age in Agriculture by Mehmet Metin Ozguven,Mehmet Ozguven in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2023
Print ISBN
9781032385778
eBook ISBN
9781000826159

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Author
  8. Chapter 1 Precision Agriculture
  9. Chapter 2 Precision Livestock Farming
  10. Chapter 3 Agricultural Robots
  11. Chapter 4 Use of Unmanned Aerial Vehicles in Agriculture
  12. Chapter 5 Agriculture 5.0 and the Internet of Things
  13. Chapter 6 Image Processing and Machine Vision in Agriculture
  14. Chapter 7 Data Mining in Agriculture
  15. Chapter 8 Artificial Intelligence, Machine Learning, and Deep Learning in Agriculture
  16. Index