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.
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
