Название: Autonomous Agricultural Vehicles: Concepts, Principles, Components, and Development Guidelines Автор: Ali Roshanianfard, Sina Faizollahzadeh-Ardabili Издательство: CRC Press Год: 2024 Страниц: 219 Язык: английский Формат: pdf (true) Размер: 13.6 MB
This comprehensive guide to agricultural robots is the ideal companion for any student or professional engineer looking to understand and develop autonomous vehicles to use on the modern farm.
With world hunger one of the modern era’s most pressing issues, autonomous agricultural vehicles are a key tool in tackling this problem. Smart farming can increase total factory productivity through designing autonomous vehicles based on specific needs, in addition to implementing smart systems into day-to-day operations. This book provides step-by-step guidance, from the theory behind autonomous vehicles, through to the design process and manufacture. Detailing all components of an autonomous agricultural vehicle, from sensors, controlling algorithms, communication and controlling units, the book covers topics such as Artificial Intelligence (AI) and Machine Learning (ML). It also includes case studies, and a detailed guide to international policymaking in recent years.
Suitable for students and professionals alike, this book will be a key companion to those interested in agricultural engineering, autonomous vehicles, robotics, and mechatronics, in mechanical, automotive, and electrical engineering.
1. Introduction. 2. Agricultural Autonomous Vehicles (AAV) and Components Description. 2.2. Agricultural Robots 3. Platforms and Mechanical Components. 4. Sensors. 5. Communications. 5.2. Internal Communication 5.3. External Communication 5.3.1. Wi-Fi 5.3.2. Bluetooth 6. Controlling Units. 6.2. Controlling Boards 6.2.1. Arduino 6.2.2. Raspberry Pi 6.2.3. BeagleBone Black 6.2.4. AdaFruit 6.3. Computers 7. Performance. 7.4. Controlling Logics 7.4.1. Artificial Neural Networks (ANNs) 7.4.2. Fuzzy Logic 8. External Attachments. 8.2. Robotic Arm and Manipulation Systems 8.3. Robotic Arms 9. Software and Apps. 9.2 Software and Apps for Controlling 9.2.1. Myrobotlab 9.2.2. Microsoft Visual Studio 9.2.3. Processing 9.2.4. Notepad++ 9.2.5. ArduinoDroid. 9.3. Software and Apps for Performance Simulation (Simulators) 9.3.1. Robot Operating System (ROS) 9.3.2. Gazebo 9.4. Software and Apps for Design (Design and Simulation) 9.4.4. AutoCAD 9.5. Software and Apps for Circuit Development 9.5.7. OpenCV 10. Review of a Case Study. Appendix 1: Abbreviations and Nomenclatures. References Index
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