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Submit a ProposalDrone Technology
 | Future Trends and Practical Applications Edited by Sachi Nandan Mohanty, J.V.R. Ravindra, G. Surya Narayana, Chinmaya Ranjan Pattnaik and Y. Mohamed Sirajudeen Copyright: 2023 | Status: Published ISBN: 978139416653 | Hardcover | 460 pages | 127 illustrations Price: $225 USD  |
One Line Description
This book provides a holistic and valuable insight into the revolutionary world of unmanned aerial vehicles (UAV).
Audience
The book will be read and consulted by a range of industry engineers involved with introducing drone technology to their daily operations.
The book will be read and consulted by a range of industry engineers involved with introducing drone technology to their daily operations.
Description
The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture.
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The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture.
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Author / Editor Details
Sachi Nandan Mohanty received his PhD from the Indian Institute of Technology Kharagpur, India. He is an associate professor, VIT-AP University, Andhra Pradesh. He has edited 24 books in association with several publishers including many with the Wiley-Scrivener imprint. His research areas include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, cognition, and computational intelligence.
Sachi Nandan Mohanty received his PhD from the Indian Institute of Technology Kharagpur, India. He is an associate professor, VIT-AP University, Andhra Pradesh. He has edited 24 books in association with several publishers including many with the Wiley-Scrivener imprint. His research areas include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, cognition, and computational intelligence.
J.V.R. Ravindra is a professor of electronics and computer engineering and is the Principal of Vardhaman College of Engineering, Hyderabad. He holds a PhD in VLSI design from the Indian Institute of Technology, Hyderabad. He is working on quantum computing, wireless sensor networks, machine learning for VLSI, low power DSP architectures. Dr. Ravindra has 120 publications in reputed journals and conferences.
G. Surya Narayana, PhD, is an associate professor in the Department of CSE, Vardhaman College of Engineering, Hyderabad, India. He has more than 15 years of teaching and 11 years of research experience. He has 37 research publications in reputed journals, three books, and filed six Indian and international patents and two copyrights. His research interests are in artificial intelligence, machine learning, and big data analytics.
Chinmaya Ranjan Pattnaik, PhD, is a professor in the Department of Computer Science and Engineering at Ajay Binay Institute of Technology CDA, Cuttack, India. He has published 18 research papers in journals and conferences as well as filed six national and international patents. His fields of interest are machine learning and digital image processing.
Mohamed Sirajudeen, PhD, is an assistant professor in the School of Computer Science and Engineering, VIT University, Andra Pradesh, India. His research areas are cloud computing, big data, blockchain, and the Internet of Things. He has published more than 25 research papers in international journals.
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Table of Contents
Preface
1. Drone Technologies: State-of-the-Art, Challenges, and Future Scope
Arun Agarwal, Chandan Mohanta and Saurabh Narendra Mehta
1.1 Introduction
1.2 Forces Acting on a Drone
1.3 Principal Axes
1.4 Broad Classification of Drones
1.4.1 Fixed-Wing Drones
1.4.1.1 Advantages
1.4.1.2 Disadvantages
1.4.2 Lighter-Than-Air Systems
1.4.2.1 Advantages
1.4.2.2 Disadvantages
1.4.3 Multi-Rotor Configuration
1.4.3.1 Advantages
1.4.3.2 Disadvantages
1.5 Military Necessity of Drones
1.5.1 Features of Sixth-Generation Fighter Planes
1.5.1.1 Introduction
1.5.1.2 Cyber Warfare and Cyber Security
1.5.1.3 Artificial Intelligence
1.5.1.4 Drones and Drone Swarms
1.5.1.5 Directed Energy Weapons
1.5.2 Pseudo Satellite of HAL
1.5.3 Surface to Air Missile vs. Modern Fighter Aircraft
1.5.4 Drones as Weapons of Mass Destruction
1.6 Conclusion and Future Scope
References
2. Introduction to Drone Flights—An Eye Witness for Flying Devices to the New Destinations
S. Venkata Achuta Rao, P. Srilatha, G.V.R.K. Acharyulu and G. Suryanarayana
2.1 Introduction
2.1.1 Brief History
2.1.2 The Indomitable Significance of Drone Technology
2.1.3 Trends
2.2 How Drones Work and Their Anatomy
2.2.1 Anatomy of a Drone
2.2.1.1 Propellers
2.2.1.2 Brushless Motors
2.2.1.3 Landing Gear
2.2.1.4 Electronic Speed Controllers [ESC]
2.2.1.5 Flight Controller
2.2.1.6 Receiver
2.2.1.7 Transmitter
2.2.1.8 GPS Module
2.2.1.9 Battery
2.2.1.10 Camera
2.2.2 Types of Drones
2.2.2.1 Sub-System of UAVs
2.2.2.2 Other Specific Types of Drones
2.2.3 Components of Drones
2.2.3.1 Hardware
2.2.3.2 Software
2.2.3.3 Other Specific Components
2.3 Salient Features and Important Codes with Public Awareness with Respect to Safety and Necessary Precautionary Points
2.3.1 Safety and Legal Note
2.3.2 Public Perception
2.3.3 Crew
2.3.4 Know Before You Fly
2.3.5 Simulation Training
2.3.6 Mapping Configuration
2.3.7 Mapping BFS Camera and Mapping Camera Mount
2.3.8 Equipment to Remove
2.3.9 Flight Planning
2.3.10 Post Processing Data
2.4 Top 10 Stunning Applications of Drone Technology
2.4.1 Aerial Photography
2.4.2 Shipping and Delivery
2.4.3 Geographic Mapping
2.4.4 Disaster Management
2.4.5 Precision Agriculture
2.4.6 Search and Rescue
2.4.7 Weather Forecast
2.4.8 Wildlife Monitoring
2.4.9 Law Enforcement
2.4.10 Entertainment
2.5 Drones in Enterprises: What Value Do They Add? Work Place Safety and Industry Benchmarks
2.5.1 Total Workplace Safety with Drones
2.5.2 Future of Drones with Idea Forge’s Industry Benchmarks
2.6 Advantages and Disadvantages of Drones
2.6.1 Significant Advantages
2.6.2 Disadvantages of Drones
2.6.3 Significant Disadvantages
2.6.4 Best Uses for Drones and Its Applications
2.7 Drone Technology as Career and Offered Jobs in the Current Industry
2.8 Societal Impact—Commercial Drones
2.9 Drones Research Challenges and Solutions
2.10 Conclusion
References
3. Drone/UAV Design Development is Important in a Wide Range of Applications: A Critical Review
M. V. Kamal, P. Dileep, G. Sharada, V. Suneetha and M. Gayatri
3.1 Introduction
3.2 Classification of Various Categories of Air Drones
3.2.1 VTOL and HTOL UAVs
3.2.2 Tilt-Body, Tilt-Rotor, and Tilt-Wingducted Fan UAVs
3.2.3 Heli-Wing and Helicopter UAVs
3.3 Drones Acting on Various Industries
3.3.1 Military Drones
3.3.2 Medical Drones
3.3.3 Agricultural Drones
3.4 Conclusions and Future Scope
References
4. A Comprehensive Study on Design and Control of Unmanned Aerial Vehicles
P. Venkateshwar Reddy, P. Srinivasa Rao, M. Hrishikesh and C. Satya Kumar
4.1 Introduction
4.2 Classification of Drones
4.3 Flight Performance Analysis
4.4 Dynamics and Design Objectives of Drones
4.4.1 Drone Dynamics
4.4.2 Design Objectives and Scaling Laws
4.4.3 Energy Utilization
4.4.4 Agility and Speed
4.4.5 Survivability and Robustness
4.4.6 Low-Level Control and Stabilization
4.5 Design Methods and Challenges
4.5.1 Proposed Solutions for Design Challenges
4.6 Guidance, Navigation, and Control of Drones
4.7 Conclusion
References
5. Some Studies of the Latest Artificial Intelligence Applications of Drones are Explored in Detail with Application Phenomena
G. Vaitheeswaran, B. Sundaravadivazhagan and Karthikeyan
5.1 Introduction
5.2 Evolution of the Drone
5.2.1 Military Drones
5.2.2 Commercial Drones
5.3 Drone Features
5.4 AI Meets Drones
5.5 Use Cases
5.5.1 Army
5.5.2 Weather Forecast
5.5.3 Industry
5.5.4 Agriculture
5.5.5 Logistics
5.6 Conclusion
References
6. Drone Technologies: Aviation Strategies, Challenges, and Applications
Devshri Satyarthi, K.V. Arya and Manish Dixit
6.1 Introduction
6.1.1 Categorization of Unmanned Aerial Vehicle (UAV)
6.1.1.1 Classification Based on Size
6.1.1.2 Classification Based on Range, Endurance, and Altitude
6.1.1.3 Classification Based on Weight
6.1.1.4 Classification Based on Engine Type
6.1.1.5 Classification Based on Configuration
6.1.1.6 Classification Based on Mechanical Design and Analysis
6.1.2 Specification of Drones
6.2 Drone Technology
6.2.1 Drone Monitoring Equipment
6.2.2 Drone Countermeasure Equipment
6.2.3 Collision Avoidance and Obstacle Detection Technology
6.2.4 Flight Controllers, Gyroscope Stabilization, and IMU
6.2.5 Drone Propulsion Technology
6.2.6 Real-Time Telemetry Flight Parameters
6.2.7 No Fly Zone Drone Technology
6.2.8 LED Flight Indicators
6.2.9 Drones with High Performance Camera
6.2.10 Remote Control System and Receiver of UAV
6.2.11 Range Extender UAV Technology
6.2.12 Video Editing Software
6.2.13 Operating Systems in Drone
6.2.14 Drone Security and Hacking
6.2.15 Modern Top Technology (Drones with Camera)
6.2.16 Intelligent Flight Systems
6.2.17 Drones For Tracking
6.3 India 2021: The Drone Policy and Rules
6.3.1 India Policy Guideline for Drones
6.3.2 Drone Rules 2021
6.4 Unmanned Aerial Vehicle (UAV) or Drone Application
6.4.1 Precision Agriculture
6.4.1.1 Related Work
6.4.1.2 Uses of UAV in Precision Agriculture
6.4.1.3 Challenges
6.4.1.4 Research Trends
6.4.1.5 Future Insights
6.4.2 Surveillance Applications of UAVs
6.4.2.1 Literature Review
6.4.2.2 State-of-the-Art Research
6.4.2.3 Product Introduction
6.4.2.4 Research Trends and Future Insights
6.4.3 Search and Rescue (SAR)
6.4.3.1 How SAR Operations Utilize UAVs
6.4.3.2 Challenges
6.4.3.3 Research Trends
6.4.3.4 Future Insights
6.4.4 Construction and Infrastructure Inspection
6.4.4.1 Literature Review
6.4.4.2 Deployment of Drone for Construction and Infrastructure Inspection Applications
6.4.4.3 Challenges
6.4.4.4 Research Trends
6.4.4.5 Future Insights
6.4.5 Delivery of Goods
6.4.5.1 UAVs-Based Goods Delivery System
6.4.5.2 Challenges
6.4.5.3 Research Trends
6.4.5.4 Future Insights
6.5 Conclusion
References
7. AI Applications of Drones
LNC Prakash K., Santosh Kumar Ravva, M.V. Rathnamma and G. Suryanarayana
7.1 Introduction
7.2 Review of Literature
7.3 AI in Drone Navigation
7.4 Companies that Use the AI Drone to Solve Big Problems
7.5 Drone Applications Using AI
7.6 Issues in the Integration of AI with Drones
7.7 Conclusion
References
8. Applications of Drones—A Review
Swathi Gowroju and Santhosh Ramchander N.
8.1 Introduction
8.2 Drone Hardware
8.3 Components of UAV
8.4 Literature Survey
8.4.1 Applications of Drones in Aerial Systems
8.4.2 Applications of Drones in Oil and Gas Industries
8.4.3 Applications of Drones in Military
8.4.4 Applications of Drones in Mines
8.4.4.1 Underground Mine Geotechnical Characterization
8.4.4.2 Underground Mine Rock Size Distribution Analysis
8.4.4.3 Underground Coal Mine Gas Detection
8.5 Analysis and Discussion
Conclusion
References
9. Drone Enables IoT Applications for Smart Cities
R. Santosh Kumar, LNC Prakash K. and G. Suryanarayana
9.1 Introduction to Smart Cities
9.2 Components and Characteristics of Smart Cities
9.2.1 Smart Healthcare
9.2.2 Smart Transportation
9.2.3 Smart Pollution Monitoring System
9.2.4 Smart Infrastructure and Building
9.2.5 Smart Building
9.3 The Role of IoT in Smart Cities
9.3.1 Road Traffic
9.3.2 Smart Parking
9.3.3 Public Transport
9.3.4 Utilities
9.3.4.1 Billing and Smart Meters
9.3.4.2 Disclosing Consumption Habits
9.3.4.3 Remote Surveillance
9.3.5 Waste Management
9.3.6 Environment
9.3.7 Public Safety
9.3.8 Security and Privacy for Smart Cities
9.4 General Approach to Implement IoT Solutions in Smart City Design
9.5 Challenges in IoT Solutions to Use in Smart City Design
9.6 Introduction to Unmanned Aerial Vehicles
9.7 Opportunities and Challenges of UAV’s in Smart Cities
9.8 Drone-Enabled IoT
9.8.1 Drone-Enabled IoT for Disaster Management
9.8.2 Drone-Enabled IoT for Public Safety
9.8.3 Drone-Enabled IoT for Data Collection
9.8.4 Drones and IoT for Improving Life Quality
9.8.5 Drone-Enabled IoT for Energy Efficiency
9.8.6 Privacy and Security Issues in Drone-Enabled IoT
9.9 Conclusion and Future Scope
References
10. AI-Based Smart Surveillance for Drowning and Theft Detection in Beaches Using Drones
V. Sakthivel, Suriya E., Jae Woo Lee and P. Prakash
10.1 Introduction
10.2 Literature Survey
10.3 Proposed Model
10.3.1 Drown Detection by Deep Learning Methods
10.3.2 People Alert System Using BLE Beacons
10.3.3 Abnormal Event Monitoring for Theft Detection
10.4 Deep Learning Model Safeties
10.5 Performance Evaluation
10.6 Conclusion
10.7 Conclusion and Future Work
Acknowledgements
References
11. Algorithms to Mitigate Cyber Security Threats by Employing Intelligent Machine Learning Models in the Design of IoT-Aided Drones
Devee Siva Prasad, Pyla Jyothi, G. Suryanarayana and Sachi Nandan Mohanty
11.1 Introduction
11.2 Research Methodology
11.3 Motivation
11.4 Machine Learning for Drone Security
11.5 Use of AI in Cyber Security
11.6 Use of AI in System to Achieve Robustness, Resilience and Response
11.7 NIC Algorithms in Cyber Security
11.8 Example Systems for AI and ML Applications for Cyber Security Diagnose
11.9 Introduction of New Threats
11.10 Areas were Malicious Use of Deepfakes is Trending
11.11 Model-Aided Deep Reinforcement Learning for Sample- Efficient UAV Trajectory Design in IoT Networks
11.12 Model-Aided Deep Q-Learning
11.13 Algorithm Model-Aided Deep Q-Learning Trajectory Design
11.13.1 Numerical Results
11.14 Machine Learning for Drone Security
11.15 Surveillance
11.16 Technologies Driving Drones’ Success
11.17 Related Work
11.18 Drones for Public Safety
11.19 Securing Drones
11.19.1 Machine and Deep Learning Models
11.20 Future Work
11.21 Contributions
Conclusion
References
12. IoT-Enabled Unmanned Aerial Vehicle: An Emerging Trend in Precision Farming
Gayatri Phade, A. T. Kishore, S. Omkar and M. Suresh Kumar
12.1 Introduction to IoT Enabled UAV
12.2 Drones in Precision Farming
12.2.1 Types of Agriculture Drones for Precision Agriculture
12.2.2 Drone Architecture for Precision Farming
12.2.3 IoT-Enabled Drone in Precision Farming
12.2.4 Safety and Security in IoT-Enabled Drones in Precision Farming
12.2.5 IoT Architecture in Drone
12.3 Challenges and Future Scope in IoT-Enabled Drone
12.4 Results and Discussion
Acknowledgement
References
13. Unmanned Aerial Vehicle for Land Mine Detection and Illegal Migration Surveillance Support in Military Applications
C. Anil Kumar Reddy and B.Venkatesh
13.1 Introduction to Military Drones
13.1.1 Unmanned Aerial Vehicle (UAV)
13.1.2 UAV Types
13.1.2.1 Multi-Rotor Drones
13.1.3 Problem Statement
13.1.4 Objective
13.1.5 Previous Work
13.2 Literature Review
13.2.1 Need of Drones for Indian Borders
13.2.2 UAV Technical Specifications
13.3 Methodology of UAV’s in Military Applications
13.3.1 Proposed System
13.3.2 Methodology
13.3.2.1 UAV Work Principle
13.3.2.2 UAV Controls and Installation
13.3.2.3 Drone Material and Frame
13.3.2.4 Program Used/Software Used (e.g., Aurdino) and Data Collection
13.3.2.5 Illegal Migration Surveillance with Camera
13.3.2.6 Data Collection from Mine Detector and Camera
13.3.2.7 Testing Conditions Applied for this Drone
13.4 Software Implementation
13.4.1 Arduino IDE
13.4.2 UAV Program/Coding
Appendix A
13.5 Conclusion
References
14. Importance of Drone Technology in Agriculture
Karuppiah Natarajan, Karthikeyan R. and Rajalingam S.
14.1 Introduction
14.2 Components of a Drone
14.3 Study of Natural Resources
14.3.1 Study of Natural and Manmade Pastures
14.3.2 Monitor Water Resources, Floods, and Droughts
14.3.3 Study of Weather Patterns
14.3.4 Monitoring of Soil Erosion
14.3.5 Cloud Seeding
14.4 Soil Fertility Management
14.4.1 Management of Soils and Their Fertility
14.4.2 Variable-Rate Technology for Soil Fertility Management
14.5 Irrigation and Water Management
14.5.1 Crop Water Stress Index
14.5.2 Drones to Monitor Water Resources
14.5.3 Drones to Design an Irrigation System
14.6 Crop Disease Identification
14.6.1 Monitoring and Identification Using Different Drone Platforms and Peripherals
14.6.2 Disease Symptoms
14.6.2.1 Sheath Blight
14.6.2.2 Narrow Brown Leaf Spot
14.7 Pest Control Management
14.7.1 Drones Offer a Sustainable Pest Control Solution
14.8 Agricultural Drones to Improve Crop Yield Management Efficiency
14.9 Issues and Challenges
14.9.1 Power Source and Flight Time
14.9.2 High Capital Cost
14.9.3 The Capacity of the Tank to Carry Fertilizer and Water for Spraying
14.9.4 Lack of Technical Skills to Operate, Repair, and Service
14.9.5 Job Loss of Existing Farm Workers
14.10 Conclusion
References
15. Network Intrusion Detection of Drones Using Recurrent Neural Networks
Yadala Sucharitha, Pundru Chandra Shaker Reddy and G. Suryanarayana
15.1 Introduction
15.2 Related Works
15.3 Drone Intrusion Detection Methodology
15.3.1 Drone RNN
15.3.2 Data Collector
15.3.3 Centralized-RNN
15.3.4 Decision-Maker
15.4 Results and Discussion
15.4.1 Model Assessment
15.4.2 Performance Analysis
15.4.3 LSTM_RNN Performance over UNSW-NB15 Dataset
15.5 Conclusion
References
16. Drone-Enabled Smart Healthcare System for Smart Cities
Subasish Mohapatra, Amlan Sahoo, Subhadarshini Mohanty and Sachi Nandan Mohanty
16.1 Introduction
16.2 Related Works
16.3 Applications of Drones
16.4 Suggested Framework
16.5 Challenges
16.6 Conclusion
Future Scopes
References
17. Drone Delivery
V. Sakthivel, Sourav Patel, Jae Woo Lee and P. Prakash
17.1 Introduction
17.2 History of Drones
17.3 Drone Delivery in Healthcare
17.4 Drone Delivery of Food
17.5 Drone Delivery in Postal Service
17.6 Delivery of Goods
Acknowledgements
References
Index
Back to Top
Preface
1. Drone Technologies: State-of-the-Art, Challenges, and Future Scope
Arun Agarwal, Chandan Mohanta and Saurabh Narendra Mehta
1.1 Introduction
1.2 Forces Acting on a Drone
1.3 Principal Axes
1.4 Broad Classification of Drones
1.4.1 Fixed-Wing Drones
1.4.1.1 Advantages
1.4.1.2 Disadvantages
1.4.2 Lighter-Than-Air Systems
1.4.2.1 Advantages
1.4.2.2 Disadvantages
1.4.3 Multi-Rotor Configuration
1.4.3.1 Advantages
1.4.3.2 Disadvantages
1.5 Military Necessity of Drones
1.5.1 Features of Sixth-Generation Fighter Planes
1.5.1.1 Introduction
1.5.1.2 Cyber Warfare and Cyber Security
1.5.1.3 Artificial Intelligence
1.5.1.4 Drones and Drone Swarms
1.5.1.5 Directed Energy Weapons
1.5.2 Pseudo Satellite of HAL
1.5.3 Surface to Air Missile vs. Modern Fighter Aircraft
1.5.4 Drones as Weapons of Mass Destruction
1.6 Conclusion and Future Scope
References
2. Introduction to Drone Flights—An Eye Witness for Flying Devices to the New Destinations
S. Venkata Achuta Rao, P. Srilatha, G.V.R.K. Acharyulu and G. Suryanarayana
2.1 Introduction
2.1.1 Brief History
2.1.2 The Indomitable Significance of Drone Technology
2.1.3 Trends
2.2 How Drones Work and Their Anatomy
2.2.1 Anatomy of a Drone
2.2.1.1 Propellers
2.2.1.2 Brushless Motors
2.2.1.3 Landing Gear
2.2.1.4 Electronic Speed Controllers [ESC]
2.2.1.5 Flight Controller
2.2.1.6 Receiver
2.2.1.7 Transmitter
2.2.1.8 GPS Module
2.2.1.9 Battery
2.2.1.10 Camera
2.2.2 Types of Drones
2.2.2.1 Sub-System of UAVs
2.2.2.2 Other Specific Types of Drones
2.2.3 Components of Drones
2.2.3.1 Hardware
2.2.3.2 Software
2.2.3.3 Other Specific Components
2.3 Salient Features and Important Codes with Public Awareness with Respect to Safety and Necessary Precautionary Points
2.3.1 Safety and Legal Note
2.3.2 Public Perception
2.3.3 Crew
2.3.4 Know Before You Fly
2.3.5 Simulation Training
2.3.6 Mapping Configuration
2.3.7 Mapping BFS Camera and Mapping Camera Mount
2.3.8 Equipment to Remove
2.3.9 Flight Planning
2.3.10 Post Processing Data
2.4 Top 10 Stunning Applications of Drone Technology
2.4.1 Aerial Photography
2.4.2 Shipping and Delivery
2.4.3 Geographic Mapping
2.4.4 Disaster Management
2.4.5 Precision Agriculture
2.4.6 Search and Rescue
2.4.7 Weather Forecast
2.4.8 Wildlife Monitoring
2.4.9 Law Enforcement
2.4.10 Entertainment
2.5 Drones in Enterprises: What Value Do They Add? Work Place Safety and Industry Benchmarks
2.5.1 Total Workplace Safety with Drones
2.5.2 Future of Drones with Idea Forge’s Industry Benchmarks
2.6 Advantages and Disadvantages of Drones
2.6.1 Significant Advantages
2.6.2 Disadvantages of Drones
2.6.3 Significant Disadvantages
2.6.4 Best Uses for Drones and Its Applications
2.7 Drone Technology as Career and Offered Jobs in the Current Industry
2.8 Societal Impact—Commercial Drones
2.9 Drones Research Challenges and Solutions
2.10 Conclusion
References
3. Drone/UAV Design Development is Important in a Wide Range of Applications: A Critical Review
M. V. Kamal, P. Dileep, G. Sharada, V. Suneetha and M. Gayatri
3.1 Introduction
3.2 Classification of Various Categories of Air Drones
3.2.1 VTOL and HTOL UAVs
3.2.2 Tilt-Body, Tilt-Rotor, and Tilt-Wingducted Fan UAVs
3.2.3 Heli-Wing and Helicopter UAVs
3.3 Drones Acting on Various Industries
3.3.1 Military Drones
3.3.2 Medical Drones
3.3.3 Agricultural Drones
3.4 Conclusions and Future Scope
References
4. A Comprehensive Study on Design and Control of Unmanned Aerial Vehicles
P. Venkateshwar Reddy, P. Srinivasa Rao, M. Hrishikesh and C. Satya Kumar
4.1 Introduction
4.2 Classification of Drones
4.3 Flight Performance Analysis
4.4 Dynamics and Design Objectives of Drones
4.4.1 Drone Dynamics
4.4.2 Design Objectives and Scaling Laws
4.4.3 Energy Utilization
4.4.4 Agility and Speed
4.4.5 Survivability and Robustness
4.4.6 Low-Level Control and Stabilization
4.5 Design Methods and Challenges
4.5.1 Proposed Solutions for Design Challenges
4.6 Guidance, Navigation, and Control of Drones
4.7 Conclusion
References
5. Some Studies of the Latest Artificial Intelligence Applications of Drones are Explored in Detail with Application Phenomena
G. Vaitheeswaran, B. Sundaravadivazhagan and Karthikeyan
5.1 Introduction
5.2 Evolution of the Drone
5.2.1 Military Drones
5.2.2 Commercial Drones
5.3 Drone Features
5.4 AI Meets Drones
5.5 Use Cases
5.5.1 Army
5.5.2 Weather Forecast
5.5.3 Industry
5.5.4 Agriculture
5.5.5 Logistics
5.6 Conclusion
References
6. Drone Technologies: Aviation Strategies, Challenges, and Applications
Devshri Satyarthi, K.V. Arya and Manish Dixit
6.1 Introduction
6.1.1 Categorization of Unmanned Aerial Vehicle (UAV)
6.1.1.1 Classification Based on Size
6.1.1.2 Classification Based on Range, Endurance, and Altitude
6.1.1.3 Classification Based on Weight
6.1.1.4 Classification Based on Engine Type
6.1.1.5 Classification Based on Configuration
6.1.1.6 Classification Based on Mechanical Design and Analysis
6.1.2 Specification of Drones
6.2 Drone Technology
6.2.1 Drone Monitoring Equipment
6.2.2 Drone Countermeasure Equipment
6.2.3 Collision Avoidance and Obstacle Detection Technology
6.2.4 Flight Controllers, Gyroscope Stabilization, and IMU
6.2.5 Drone Propulsion Technology
6.2.6 Real-Time Telemetry Flight Parameters
6.2.7 No Fly Zone Drone Technology
6.2.8 LED Flight Indicators
6.2.9 Drones with High Performance Camera
6.2.10 Remote Control System and Receiver of UAV
6.2.11 Range Extender UAV Technology
6.2.12 Video Editing Software
6.2.13 Operating Systems in Drone
6.2.14 Drone Security and Hacking
6.2.15 Modern Top Technology (Drones with Camera)
6.2.16 Intelligent Flight Systems
6.2.17 Drones For Tracking
6.3 India 2021: The Drone Policy and Rules
6.3.1 India Policy Guideline for Drones
6.3.2 Drone Rules 2021
6.4 Unmanned Aerial Vehicle (UAV) or Drone Application
6.4.1 Precision Agriculture
6.4.1.1 Related Work
6.4.1.2 Uses of UAV in Precision Agriculture
6.4.1.3 Challenges
6.4.1.4 Research Trends
6.4.1.5 Future Insights
6.4.2 Surveillance Applications of UAVs
6.4.2.1 Literature Review
6.4.2.2 State-of-the-Art Research
6.4.2.3 Product Introduction
6.4.2.4 Research Trends and Future Insights
6.4.3 Search and Rescue (SAR)
6.4.3.1 How SAR Operations Utilize UAVs
6.4.3.2 Challenges
6.4.3.3 Research Trends
6.4.3.4 Future Insights
6.4.4 Construction and Infrastructure Inspection
6.4.4.1 Literature Review
6.4.4.2 Deployment of Drone for Construction and Infrastructure Inspection Applications
6.4.4.3 Challenges
6.4.4.4 Research Trends
6.4.4.5 Future Insights
6.4.5 Delivery of Goods
6.4.5.1 UAVs-Based Goods Delivery System
6.4.5.2 Challenges
6.4.5.3 Research Trends
6.4.5.4 Future Insights
6.5 Conclusion
References
7. AI Applications of Drones
LNC Prakash K., Santosh Kumar Ravva, M.V. Rathnamma and G. Suryanarayana
7.1 Introduction
7.2 Review of Literature
7.3 AI in Drone Navigation
7.4 Companies that Use the AI Drone to Solve Big Problems
7.5 Drone Applications Using AI
7.6 Issues in the Integration of AI with Drones
7.7 Conclusion
References
8. Applications of Drones—A Review
Swathi Gowroju and Santhosh Ramchander N.
8.1 Introduction
8.2 Drone Hardware
8.3 Components of UAV
8.4 Literature Survey
8.4.1 Applications of Drones in Aerial Systems
8.4.2 Applications of Drones in Oil and Gas Industries
8.4.3 Applications of Drones in Military
8.4.4 Applications of Drones in Mines
8.4.4.1 Underground Mine Geotechnical Characterization
8.4.4.2 Underground Mine Rock Size Distribution Analysis
8.4.4.3 Underground Coal Mine Gas Detection
8.5 Analysis and Discussion
Conclusion
References
9. Drone Enables IoT Applications for Smart Cities
R. Santosh Kumar, LNC Prakash K. and G. Suryanarayana
9.1 Introduction to Smart Cities
9.2 Components and Characteristics of Smart Cities
9.2.1 Smart Healthcare
9.2.2 Smart Transportation
9.2.3 Smart Pollution Monitoring System
9.2.4 Smart Infrastructure and Building
9.2.5 Smart Building
9.3 The Role of IoT in Smart Cities
9.3.1 Road Traffic
9.3.2 Smart Parking
9.3.3 Public Transport
9.3.4 Utilities
9.3.4.1 Billing and Smart Meters
9.3.4.2 Disclosing Consumption Habits
9.3.4.3 Remote Surveillance
9.3.5 Waste Management
9.3.6 Environment
9.3.7 Public Safety
9.3.8 Security and Privacy for Smart Cities
9.4 General Approach to Implement IoT Solutions in Smart City Design
9.5 Challenges in IoT Solutions to Use in Smart City Design
9.6 Introduction to Unmanned Aerial Vehicles
9.7 Opportunities and Challenges of UAV’s in Smart Cities
9.8 Drone-Enabled IoT
9.8.1 Drone-Enabled IoT for Disaster Management
9.8.2 Drone-Enabled IoT for Public Safety
9.8.3 Drone-Enabled IoT for Data Collection
9.8.4 Drones and IoT for Improving Life Quality
9.8.5 Drone-Enabled IoT for Energy Efficiency
9.8.6 Privacy and Security Issues in Drone-Enabled IoT
9.9 Conclusion and Future Scope
References
10. AI-Based Smart Surveillance for Drowning and Theft Detection in Beaches Using Drones
V. Sakthivel, Suriya E., Jae Woo Lee and P. Prakash
10.1 Introduction
10.2 Literature Survey
10.3 Proposed Model
10.3.1 Drown Detection by Deep Learning Methods
10.3.2 People Alert System Using BLE Beacons
10.3.3 Abnormal Event Monitoring for Theft Detection
10.4 Deep Learning Model Safeties
10.5 Performance Evaluation
10.6 Conclusion
10.7 Conclusion and Future Work
Acknowledgements
References
11. Algorithms to Mitigate Cyber Security Threats by Employing Intelligent Machine Learning Models in the Design of IoT-Aided Drones
Devee Siva Prasad, Pyla Jyothi, G. Suryanarayana and Sachi Nandan Mohanty
11.1 Introduction
11.2 Research Methodology
11.3 Motivation
11.4 Machine Learning for Drone Security
11.5 Use of AI in Cyber Security
11.6 Use of AI in System to Achieve Robustness, Resilience and Response
11.7 NIC Algorithms in Cyber Security
11.8 Example Systems for AI and ML Applications for Cyber Security Diagnose
11.9 Introduction of New Threats
11.10 Areas were Malicious Use of Deepfakes is Trending
11.11 Model-Aided Deep Reinforcement Learning for Sample- Efficient UAV Trajectory Design in IoT Networks
11.12 Model-Aided Deep Q-Learning
11.13 Algorithm Model-Aided Deep Q-Learning Trajectory Design
11.13.1 Numerical Results
11.14 Machine Learning for Drone Security
11.15 Surveillance
11.16 Technologies Driving Drones’ Success
11.17 Related Work
11.18 Drones for Public Safety
11.19 Securing Drones
11.19.1 Machine and Deep Learning Models
11.20 Future Work
11.21 Contributions
Conclusion
References
12. IoT-Enabled Unmanned Aerial Vehicle: An Emerging Trend in Precision Farming
Gayatri Phade, A. T. Kishore, S. Omkar and M. Suresh Kumar
12.1 Introduction to IoT Enabled UAV
12.2 Drones in Precision Farming
12.2.1 Types of Agriculture Drones for Precision Agriculture
12.2.2 Drone Architecture for Precision Farming
12.2.3 IoT-Enabled Drone in Precision Farming
12.2.4 Safety and Security in IoT-Enabled Drones in Precision Farming
12.2.5 IoT Architecture in Drone
12.3 Challenges and Future Scope in IoT-Enabled Drone
12.4 Results and Discussion
Acknowledgement
References
13. Unmanned Aerial Vehicle for Land Mine Detection and Illegal Migration Surveillance Support in Military Applications
C. Anil Kumar Reddy and B.Venkatesh
13.1 Introduction to Military Drones
13.1.1 Unmanned Aerial Vehicle (UAV)
13.1.2 UAV Types
13.1.2.1 Multi-Rotor Drones
13.1.3 Problem Statement
13.1.4 Objective
13.1.5 Previous Work
13.2 Literature Review
13.2.1 Need of Drones for Indian Borders
13.2.2 UAV Technical Specifications
13.3 Methodology of UAV’s in Military Applications
13.3.1 Proposed System
13.3.2 Methodology
13.3.2.1 UAV Work Principle
13.3.2.2 UAV Controls and Installation
13.3.2.3 Drone Material and Frame
13.3.2.4 Program Used/Software Used (e.g., Aurdino) and Data Collection
13.3.2.5 Illegal Migration Surveillance with Camera
13.3.2.6 Data Collection from Mine Detector and Camera
13.3.2.7 Testing Conditions Applied for this Drone
13.4 Software Implementation
13.4.1 Arduino IDE
13.4.2 UAV Program/Coding
Appendix A
13.5 Conclusion
References
14. Importance of Drone Technology in Agriculture
Karuppiah Natarajan, Karthikeyan R. and Rajalingam S.
14.1 Introduction
14.2 Components of a Drone
14.3 Study of Natural Resources
14.3.1 Study of Natural and Manmade Pastures
14.3.2 Monitor Water Resources, Floods, and Droughts
14.3.3 Study of Weather Patterns
14.3.4 Monitoring of Soil Erosion
14.3.5 Cloud Seeding
14.4 Soil Fertility Management
14.4.1 Management of Soils and Their Fertility
14.4.2 Variable-Rate Technology for Soil Fertility Management
14.5 Irrigation and Water Management
14.5.1 Crop Water Stress Index
14.5.2 Drones to Monitor Water Resources
14.5.3 Drones to Design an Irrigation System
14.6 Crop Disease Identification
14.6.1 Monitoring and Identification Using Different Drone Platforms and Peripherals
14.6.2 Disease Symptoms
14.6.2.1 Sheath Blight
14.6.2.2 Narrow Brown Leaf Spot
14.7 Pest Control Management
14.7.1 Drones Offer a Sustainable Pest Control Solution
14.8 Agricultural Drones to Improve Crop Yield Management Efficiency
14.9 Issues and Challenges
14.9.1 Power Source and Flight Time
14.9.2 High Capital Cost
14.9.3 The Capacity of the Tank to Carry Fertilizer and Water for Spraying
14.9.4 Lack of Technical Skills to Operate, Repair, and Service
14.9.5 Job Loss of Existing Farm Workers
14.10 Conclusion
References
15. Network Intrusion Detection of Drones Using Recurrent Neural Networks
Yadala Sucharitha, Pundru Chandra Shaker Reddy and G. Suryanarayana
15.1 Introduction
15.2 Related Works
15.3 Drone Intrusion Detection Methodology
15.3.1 Drone RNN
15.3.2 Data Collector
15.3.3 Centralized-RNN
15.3.4 Decision-Maker
15.4 Results and Discussion
15.4.1 Model Assessment
15.4.2 Performance Analysis
15.4.3 LSTM_RNN Performance over UNSW-NB15 Dataset
15.5 Conclusion
References
16. Drone-Enabled Smart Healthcare System for Smart Cities
Subasish Mohapatra, Amlan Sahoo, Subhadarshini Mohanty and Sachi Nandan Mohanty
16.1 Introduction
16.2 Related Works
16.3 Applications of Drones
16.4 Suggested Framework
16.5 Challenges
16.6 Conclusion
Future Scopes
References
17. Drone Delivery
V. Sakthivel, Sourav Patel, Jae Woo Lee and P. Prakash
17.1 Introduction
17.2 History of Drones
17.3 Drone Delivery in Healthcare
17.4 Drone Delivery of Food
17.5 Drone Delivery in Postal Service
17.6 Delivery of Goods
Acknowledgements
References
Index
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