Unmanned aerial vehicles and multidisciplinary applications using AI techniques
"This comprehensive edited book covers Artificial techniques, pattern recognition, machine and deep learning--based methods and techniques applied to different real time applications of unmanned aerial vehicles (UAV) with the goal to synthesize the scope and importance of machine learning and d...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA
IGI Global, Engineering Science Reference, an imprint of IGI Global,
[2022]
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| Series: | Advances in computational intelligence and robotics (ACIR) book series.
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| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of Contents:
- Chapter 1. UAVs for multidisciplinary applications: introduction
- Chapter 2. A review on the applications of unmanned aerial vehicles and internet of things towards smart farming
- Chapter 3. Recommendation of crop and yield prediction by assessing soil health from ortho-photos
- Chapter 4. Design and implementation of an amphibious unmanned aerial vehicle system for agriculture applications
- Chapter 5. Scope of uavs for smart cities: an outlook
- Chapter 6. Urban intelligence and IoT-UAV applications in smart cities: unmanned aerial vehicle-based city management, human activity recognition, and monitoring for health
- Chapter 7. Mathematical modeling of unmanned aerial vehicles for smart city vehicular surveillance systems
- Chapter 8. Unmanned aerial vehicle brands fan Page engagement behavior analytics
- Chapter 9. Business transformation and enterprise architecture projects: machine learning integration for projects (MLI4P)
- Chapter 10. Future trends and challenges of UAV: conclusion.