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 eras most pressing issues, autonomous agricultural vehicles are a key tool in tackling this problem.
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 eras most pressing issues, autonomous agricultural vehicles are a key tool in tackling this problem.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Ali Roshanianfard is a smart farming researcher and assistant professor (Biosystem Engineering, University of Mohaghegh Ardabili) originally from Ardabil, Iran. He has a Ph.D. in Agricultural Engineering - Vehicle Robotics from Hokkaido University, Japan. After starting research in futuristic farming, he embarked upon careers as a post-doc researcher (Vehicle Robotics, Hokkaido University, Japan), Head of the scientific center (Precision Farming Research Association, University of Mohaghegh Ardabili, Iran), Vic-president (Science and Technology Park of Ardabil Province, Iran). He is currently the reviewer of many top-rated academic journals. His research focused on the application of information technology, sensors, control, cultivation, and processing systems in agriculture. He is collaborating with farming robot laboratories and international industries. Sina Faizollahzadeh Ardabili has been a member of the National Elites Foundation in Iran since 2017 which works on smart systems and artificial intelligence technologies. He received his Ph.D. degree in renewable energies, especially in smart energy systems. His research during his Ph.D. studies has been on the application of artificial intelligence systems, and smart systems. He has several highly cited review papers on the application of machine learning and deep learning systems. He is collaborating in the AI lab as a researcher, now. He had been among the top 2% of scientists based on the Standford University study since 2021.
Inhaltsangabe
1. Introduction. 2. Agricultural Autonomous Vehicles (AAV) and Components Description. 3. Platforms and Mechanical Components. 4. Sensors. 5. Communications. 6. Controlling Units. 7. Performance. 8. External Attachments. 9. Software and Apps. 10. Review of a Case Study. Appendix 1: Abbreviations and Nomenclatures. References
