Mobile Robots for Digital Farming
- 184 pages
- English
- ePUB (mobile friendly)
- Only available on web
Mobile Robots for Digital Farming
About This Book
This book provides a complete and comprehensive reference for agricultural mobile robots, covering all aspects of the design process, from sensing and perceiving to planning and acting for practical farming applications.
Mobile Robots for Digital Farming explores topics such as Robot Operating Systems (ROS), dynamic simulation, artificial intelligence, image processing, and machine learning. Additionally, it features multiple case studies from funded projects and real-field trials.
This book will be useful for professors and academics in various engineering disciplines (mechanical, robotics, control, electrical, computer, and agricultural), graduate and undergraduate students, farmers, commercial growers, startups, private companies, consultancy agencies, equipment suppliers, and agricultural policymakers.
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Table of contents
- Cover
- Half Title
- Title
- Copyright
- Dedication
- Contents
- About the Editors
- List of Contributors
- Chapter 1 Sensors, Algorithms, and Software for Autonomous Navigation of Agricultural Mobile Robots
- Chapter 2 Robot-Assisted Soil Apparent Electrical Conductivity Measurements in Orchards
- Chapter 3 Electrical Tractors for Autonomous Farming
- Chapter 4 Agricultural Robotics to Revolutionize Farming: Requirements and Challenges
- Chapter 5 Toward Optimizing Path Tracking of Agricultural Mobile Robots with Different Steering Mechanisms: A Simulation Framework
- Index