Mobile Robots for Digital Farming
1st Edition
Published on 9. September 2024
Book
Hardback
14 pages
978-1-032-30466-3 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
College/higher education
General and Postgraduate
Illustrations
5 s/w Zeichnungen, 22 s/w Tabellen, 56 s/w Abbildungen, 51 s/w Photographien bzw. Rasterbilder
22 Tables, black and white; 5 Line drawings, black and white; 51 Halftones, black and white; 56 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 16 mm
Weight
482 gr
ISBN-13
978-1-032-30466-3 (9781032304663)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Redmond R. Shamshiri | Ibrahim A. Hameed
Mobile Robots for Digital Farming
Book
approx. 07/2026
1st Edition
CRC Press
€66.00
Not yet published
Redmond R. Shamshiri | Ibrahim A. Hameed
Mobile Robots for Digital Farming
E-Book
09/2024
1st Edition
CRC Press
€73.99
Available for download
Redmond R. Shamshiri | Ibrahim A. Hameed
Mobile Robots for Digital Farming
E-Book
09/2024
1st Edition
CRC Press
€73.99
Available for download
Persons
Redmond R. Shamshiri is a scientist at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) working toward digitization of agriculture for food security. He holds a Ph.D. in agricultural automation with a focus on control systems and dynamics. His research fields include autonomous navigation of agricultural mobile robots, sensor fusion and artificial intelligence for collision avoidance, Teleoperation, wireless systems, and optimization of controlled environment agriculture.
Ibrahim A. Hameed is currently a Professor and the Deputy Head of research and innovation, and the Head of the international master program in simulation and visualization with the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim, Norway, where he has been an Associate Professor with the Department of ICT and Natural Sciences, since 2015.
Ibrahim A. Hameed is currently a Professor and the Deputy Head of research and innovation, and the Head of the international master program in simulation and visualization with the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim, Norway, where he has been an Associate Professor with the Department of ICT and Natural Sciences, since 2015.
Content
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
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