Mobile Robots for Digital Farming:
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 challe...
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| Main Author: | |
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| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton
CRC Press
2024
|
| Edition: | 1st edition |
| Online Access: | DE-1028 Volltext |
| Summary: | 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 |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 Online-Ressource (208 Seiten) |
| ISBN: | 9781040115282 9781003306283 |
| DOI: | 10.1201/9781003306283 |
Staff View
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| 505 | 8 | |a 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 -- 1.1 An Overview of Agricultural Mobile Robots -- 1.2 The Sense, Think, Act Paradigm -- 1.3 Sensors for Autonomous Navigation and Obstacle Detection -- 1.3.1 Sensors for Localization and Mapping -- 1.3.2 Sensors for Simultaneous Localization and Mapping (SLAM) -- 1.3.3 Sensors for Obstacle Detection -- 1.4 Algorithms for Autonomous Navigation and Collision Avoidance -- 1.4.1 Localizations and Mapping -- 1.4.2 Path Planning -- 1.4.3 Path Tracking -- 1.4.4 Trajectory Planning -- 1.4.5 Sensor Fusion Algorithms -- 1.4.6 Collision Avoidance Algorithms -- 1.4.7 Machine Learning -- 1.5 The Robot Operating System (ROS) Packages -- 1.6 Simulation Software -- 1.7 Technological Challenges Toward Commercialization -- 1.8 Conclusion -- References -- Chapter 2 Robot-Assisted Soil Apparent Electrical Conductivity Measurements in Orchards -- 2.1 Introduction -- 2.2 System Design and Integration of Key Components -- 2.2.1 Soil Conductivity and Employed Sensor -- 2.2.2 Mobile Robot Setup -- 2.2.3 Positioning System Integration for Field Navigation -- 2.2.4 Robot Configuration and the Design of the Sensor Mounting Platform -- 2.3 Development and Calibration for Optimal Sensor Placement -- 2.3.1 Determination of Robot Interference in Soil Conductivity Measurements -- 2.3.2 Evaluation of Robot Platform Maneuverability Though Gazebo Simulation -- 2.3.3 Preliminary Feasibility Experimental Testing of Boundary Configurations -- 2.4 Field-Scale Experiments -- 2.5 Conclusion -- References -- Chapter 3 Electrical Tractors for Autonomous Farming -- 3.1 Introduction -- 3.2 Background and Applications -- 3.3 Benefits of Using E-Tractors | |
| 505 | 8 | |a 3.4 Challenges and Limitations with E-Tractors -- 3.5 Availability of E-Tractors -- 3.6 E-Tractors for High-Density Orchards -- 3.7 Accelerating the Adoption of E-Tractors -- 3.8 Conclusion -- References -- Chapter 4 Agricultural Robotics to Revolutionize Farming: Requirements and Challenges -- 4.1 Introduction -- 4.2 Advances in Robotic Manipulators for Agriculture -- 4.2.1 Advances in Visual Servoing and Computer Vision -- 4.2.2 Advances in Robotic Pruning, Thinning, and Trimming -- 4.2.3 Advances in Robotic Weeding and Target Spraying -- 4.2.4 Advances in Robotic Harvesting -- 4.3 Human-Robot Collaboration -- 4.4 Advances in Soft Robotics and Soft Grippers -- 4.4.1 Soft Robotic Manipulators -- 4.4.2 Innovations in Soft Grippers -- 4.4.3 Finger-Tracking Gloves -- 4.5 Advances in Field Robots and Their Availability in Europe -- 4.6 A Case Study for Potato Fields -- 4.7 Current Challenges and Limitations of Agricultural Robotics -- 4.8 Future Scenarios -- 4.9 Conclusion -- 4.10 Acknowledgment -- 4.11 Disclaimer -- References -- Chapter 5 Toward Optimizing Path Tracking of Agricultural Mobile Robots with Different Steering Mechanisms: A Simulation Framework -- 5.1 Introduction -- 5.2 Effect of Steering Mechanism on Path Tracking -- 5.3 Finding the Shortest Path -- 5.4 Path Tracking Controllers -- 5.4.1 PID Controller -- 5.4.2 Model Predictive Controller -- 5.5 Conclusion -- References -- Index | |
| 520 | |a 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 | ||
| 700 | 1 | |a Shamshiri, Redmond R. |4 edt | |
| 700 | 1 | |a Hameed, Ibrahim A. |4 edt | |
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| 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 -- 1.1 An Overview of Agricultural Mobile Robots -- 1.2 The Sense, Think, Act Paradigm -- 1.3 Sensors for Autonomous Navigation and Obstacle Detection -- 1.3.1 Sensors for Localization and Mapping -- 1.3.2 Sensors for Simultaneous Localization and Mapping (SLAM) -- 1.3.3 Sensors for Obstacle Detection -- 1.4 Algorithms for Autonomous Navigation and Collision Avoidance -- 1.4.1 Localizations and Mapping -- 1.4.2 Path Planning -- 1.4.3 Path Tracking -- 1.4.4 Trajectory Planning -- 1.4.5 Sensor Fusion Algorithms -- 1.4.6 Collision Avoidance Algorithms -- 1.4.7 Machine Learning -- 1.5 The Robot Operating System (ROS) Packages -- 1.6 Simulation Software -- 1.7 Technological Challenges Toward Commercialization -- 1.8 Conclusion -- References -- Chapter 2 Robot-Assisted Soil Apparent Electrical Conductivity Measurements in Orchards -- 2.1 Introduction -- 2.2 System Design and Integration of Key Components -- 2.2.1 Soil Conductivity and Employed Sensor -- 2.2.2 Mobile Robot Setup -- 2.2.3 Positioning System Integration for Field Navigation -- 2.2.4 Robot Configuration and the Design of the Sensor Mounting Platform -- 2.3 Development and Calibration for Optimal Sensor Placement -- 2.3.1 Determination of Robot Interference in Soil Conductivity Measurements -- 2.3.2 Evaluation of Robot Platform Maneuverability Though Gazebo Simulation -- 2.3.3 Preliminary Feasibility Experimental Testing of Boundary Configurations -- 2.4 Field-Scale Experiments -- 2.5 Conclusion -- References -- Chapter 3 Electrical Tractors for Autonomous Farming -- 3.1 Introduction -- 3.2 Background and Applications -- 3.3 Benefits of Using E-Tractors 3.4 Challenges and Limitations with E-Tractors -- 3.5 Availability of E-Tractors -- 3.6 E-Tractors for High-Density Orchards -- 3.7 Accelerating the Adoption of E-Tractors -- 3.8 Conclusion -- References -- Chapter 4 Agricultural Robotics to Revolutionize Farming: Requirements and Challenges -- 4.1 Introduction -- 4.2 Advances in Robotic Manipulators for Agriculture -- 4.2.1 Advances in Visual Servoing and Computer Vision -- 4.2.2 Advances in Robotic Pruning, Thinning, and Trimming -- 4.2.3 Advances in Robotic Weeding and Target Spraying -- 4.2.4 Advances in Robotic Harvesting -- 4.3 Human-Robot Collaboration -- 4.4 Advances in Soft Robotics and Soft Grippers -- 4.4.1 Soft Robotic Manipulators -- 4.4.2 Innovations in Soft Grippers -- 4.4.3 Finger-Tracking Gloves -- 4.5 Advances in Field Robots and Their Availability in Europe -- 4.6 A Case Study for Potato Fields -- 4.7 Current Challenges and Limitations of Agricultural Robotics -- 4.8 Future Scenarios -- 4.9 Conclusion -- 4.10 Acknowledgment -- 4.11 Disclaimer -- References -- Chapter 5 Toward Optimizing Path Tracking of Agricultural Mobile Robots with Different Steering Mechanisms: A Simulation Framework -- 5.1 Introduction -- 5.2 Effect of Steering Mechanism on Path Tracking -- 5.3 Finding the Shortest Path -- 5.4 Path Tracking Controllers -- 5.4.1 PID Controller -- 5.4.2 Model Predictive Controller -- 5.5 Conclusion -- References -- Index |
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| dewey-full | 338.160285 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 338 - Production |
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| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1201/9781003306283 |
| edition | 1st edition |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2025-02-20T15:01:26Z |
| institution | BVB |
| isbn | 9781040115282 9781003306283 |
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| spelling | Mobile Robots for Digital Farming 1st edition Boca Raton CRC Press 2024 ©2025 1 Online-Ressource (208 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources 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 -- 1.1 An Overview of Agricultural Mobile Robots -- 1.2 The Sense, Think, Act Paradigm -- 1.3 Sensors for Autonomous Navigation and Obstacle Detection -- 1.3.1 Sensors for Localization and Mapping -- 1.3.2 Sensors for Simultaneous Localization and Mapping (SLAM) -- 1.3.3 Sensors for Obstacle Detection -- 1.4 Algorithms for Autonomous Navigation and Collision Avoidance -- 1.4.1 Localizations and Mapping -- 1.4.2 Path Planning -- 1.4.3 Path Tracking -- 1.4.4 Trajectory Planning -- 1.4.5 Sensor Fusion Algorithms -- 1.4.6 Collision Avoidance Algorithms -- 1.4.7 Machine Learning -- 1.5 The Robot Operating System (ROS) Packages -- 1.6 Simulation Software -- 1.7 Technological Challenges Toward Commercialization -- 1.8 Conclusion -- References -- Chapter 2 Robot-Assisted Soil Apparent Electrical Conductivity Measurements in Orchards -- 2.1 Introduction -- 2.2 System Design and Integration of Key Components -- 2.2.1 Soil Conductivity and Employed Sensor -- 2.2.2 Mobile Robot Setup -- 2.2.3 Positioning System Integration for Field Navigation -- 2.2.4 Robot Configuration and the Design of the Sensor Mounting Platform -- 2.3 Development and Calibration for Optimal Sensor Placement -- 2.3.1 Determination of Robot Interference in Soil Conductivity Measurements -- 2.3.2 Evaluation of Robot Platform Maneuverability Though Gazebo Simulation -- 2.3.3 Preliminary Feasibility Experimental Testing of Boundary Configurations -- 2.4 Field-Scale Experiments -- 2.5 Conclusion -- References -- Chapter 3 Electrical Tractors for Autonomous Farming -- 3.1 Introduction -- 3.2 Background and Applications -- 3.3 Benefits of Using E-Tractors 3.4 Challenges and Limitations with E-Tractors -- 3.5 Availability of E-Tractors -- 3.6 E-Tractors for High-Density Orchards -- 3.7 Accelerating the Adoption of E-Tractors -- 3.8 Conclusion -- References -- Chapter 4 Agricultural Robotics to Revolutionize Farming: Requirements and Challenges -- 4.1 Introduction -- 4.2 Advances in Robotic Manipulators for Agriculture -- 4.2.1 Advances in Visual Servoing and Computer Vision -- 4.2.2 Advances in Robotic Pruning, Thinning, and Trimming -- 4.2.3 Advances in Robotic Weeding and Target Spraying -- 4.2.4 Advances in Robotic Harvesting -- 4.3 Human-Robot Collaboration -- 4.4 Advances in Soft Robotics and Soft Grippers -- 4.4.1 Soft Robotic Manipulators -- 4.4.2 Innovations in Soft Grippers -- 4.4.3 Finger-Tracking Gloves -- 4.5 Advances in Field Robots and Their Availability in Europe -- 4.6 A Case Study for Potato Fields -- 4.7 Current Challenges and Limitations of Agricultural Robotics -- 4.8 Future Scenarios -- 4.9 Conclusion -- 4.10 Acknowledgment -- 4.11 Disclaimer -- References -- Chapter 5 Toward Optimizing Path Tracking of Agricultural Mobile Robots with Different Steering Mechanisms: A Simulation Framework -- 5.1 Introduction -- 5.2 Effect of Steering Mechanism on Path Tracking -- 5.3 Finding the Shortest Path -- 5.4 Path Tracking Controllers -- 5.4.1 PID Controller -- 5.4.2 Model Predictive Controller -- 5.5 Conclusion -- References -- Index 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 Shamshiri, Redmond R. edt Hameed, Ibrahim A. edt Erscheint auch als Druck-Ausgabe Shamshiri, Redmond R. Mobile Robots for Digital Farming Boca Raton : Taylor & Francis Group,c2024 9781032304663 https://doi.org/10.1201/9781003306283 Volltext |
| spellingShingle | Shamshiri, Redmond R. Mobile Robots for Digital Farming 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 -- 1.1 An Overview of Agricultural Mobile Robots -- 1.2 The Sense, Think, Act Paradigm -- 1.3 Sensors for Autonomous Navigation and Obstacle Detection -- 1.3.1 Sensors for Localization and Mapping -- 1.3.2 Sensors for Simultaneous Localization and Mapping (SLAM) -- 1.3.3 Sensors for Obstacle Detection -- 1.4 Algorithms for Autonomous Navigation and Collision Avoidance -- 1.4.1 Localizations and Mapping -- 1.4.2 Path Planning -- 1.4.3 Path Tracking -- 1.4.4 Trajectory Planning -- 1.4.5 Sensor Fusion Algorithms -- 1.4.6 Collision Avoidance Algorithms -- 1.4.7 Machine Learning -- 1.5 The Robot Operating System (ROS) Packages -- 1.6 Simulation Software -- 1.7 Technological Challenges Toward Commercialization -- 1.8 Conclusion -- References -- Chapter 2 Robot-Assisted Soil Apparent Electrical Conductivity Measurements in Orchards -- 2.1 Introduction -- 2.2 System Design and Integration of Key Components -- 2.2.1 Soil Conductivity and Employed Sensor -- 2.2.2 Mobile Robot Setup -- 2.2.3 Positioning System Integration for Field Navigation -- 2.2.4 Robot Configuration and the Design of the Sensor Mounting Platform -- 2.3 Development and Calibration for Optimal Sensor Placement -- 2.3.1 Determination of Robot Interference in Soil Conductivity Measurements -- 2.3.2 Evaluation of Robot Platform Maneuverability Though Gazebo Simulation -- 2.3.3 Preliminary Feasibility Experimental Testing of Boundary Configurations -- 2.4 Field-Scale Experiments -- 2.5 Conclusion -- References -- Chapter 3 Electrical Tractors for Autonomous Farming -- 3.1 Introduction -- 3.2 Background and Applications -- 3.3 Benefits of Using E-Tractors 3.4 Challenges and Limitations with E-Tractors -- 3.5 Availability of E-Tractors -- 3.6 E-Tractors for High-Density Orchards -- 3.7 Accelerating the Adoption of E-Tractors -- 3.8 Conclusion -- References -- Chapter 4 Agricultural Robotics to Revolutionize Farming: Requirements and Challenges -- 4.1 Introduction -- 4.2 Advances in Robotic Manipulators for Agriculture -- 4.2.1 Advances in Visual Servoing and Computer Vision -- 4.2.2 Advances in Robotic Pruning, Thinning, and Trimming -- 4.2.3 Advances in Robotic Weeding and Target Spraying -- 4.2.4 Advances in Robotic Harvesting -- 4.3 Human-Robot Collaboration -- 4.4 Advances in Soft Robotics and Soft Grippers -- 4.4.1 Soft Robotic Manipulators -- 4.4.2 Innovations in Soft Grippers -- 4.4.3 Finger-Tracking Gloves -- 4.5 Advances in Field Robots and Their Availability in Europe -- 4.6 A Case Study for Potato Fields -- 4.7 Current Challenges and Limitations of Agricultural Robotics -- 4.8 Future Scenarios -- 4.9 Conclusion -- 4.10 Acknowledgment -- 4.11 Disclaimer -- References -- Chapter 5 Toward Optimizing Path Tracking of Agricultural Mobile Robots with Different Steering Mechanisms: A Simulation Framework -- 5.1 Introduction -- 5.2 Effect of Steering Mechanism on Path Tracking -- 5.3 Finding the Shortest Path -- 5.4 Path Tracking Controllers -- 5.4.1 PID Controller -- 5.4.2 Model Predictive Controller -- 5.5 Conclusion -- References -- Index |
| title | Mobile Robots for Digital Farming |
| title_auth | Mobile Robots for Digital Farming |
| title_exact_search | Mobile Robots for Digital Farming |
| title_full | Mobile Robots for Digital Farming |
| title_fullStr | Mobile Robots for Digital Farming |
| title_full_unstemmed | Mobile Robots for Digital Farming |
| title_short | Mobile Robots for Digital Farming |
| title_sort | mobile robots for digital farming |
| url | https://doi.org/10.1201/9781003306283 |
| work_keys_str_mv | AT shamshiriredmondr mobilerobotsfordigitalfarming AT hameedibrahima mobilerobotsfordigitalfarming |