Mobile Robots for Digital Farming (eBook, ePUB)

Redaktion: Shamshiri, Redmond R.; Hameed, Ibrahim A.

• Format: ePub

Produktbeschreibung

This book examines the latest achievements in agricultural mobile robots, specifically those that are used for autonomous weed control, field scouting, mowing, and harvesting. The book examines object identification, task planning algorithms, digitalization and optimization of sensors and the challenges in the context of digital farming.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 9. September 2024
• Englisch
• ISBN-13: 9781040115299
• Artikelnr.: 72272237

Autorenporträt

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.

Inhaltsangabe

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