"This work includes details starting from the basics of drone technology and discusses diverse aspects related to drone designing and implementation. Further chapters detail the impact of drone technology on society in terms of development, challenges, and security concerns. Then, implementations of artificial intelligence techniques such as machine learning, deep learning, etc., are discussed to translate drone technology into intelligent drone technology. There are diverse applications in the area of intelligent drone technologies such as agriculture, disaster management, security, military, etc. Hence, in this book, some of the drone-specific applications are discussed"--
Author(s): Mohit Angurala, Vikas Khullar
Series: Computer Science, Technology and Applications
Publisher: Nova Science Publishers
Year: 2022
Language: English
Pages: 164
City: New York
Contents
Preface
Chapter 1
Introduction to Drone Technologies
Abstract
Introduction
Types of Drones
Single-Rotor Drones
Multi-Rotor Drones
Fixed-Wing Drones
Fixed-Wing Hybrid Drones
Small Drones
Micro Drones
Tactical Drones
GPS Drones
Photography Drones
Racing Drones
Components of Drone
Remote Control Transmitter
Multi Rotor Frame
Motors/Speed Controller
Flight Controller
Batteries
Routing Problems in Drone Technology
Applications of UAV (Drone)
Geographic Information System (GIS) Base Mapping and Data Acquisition
Design Mapping by Civil Engineers
Search and Rescue
Disaster Management
Border and Coastal Security Management
Swachh Bharat and Medical Applications
Weather Forecasting
Food /Restaurant Industry
Conclusion
References
Chapter 2
Drones for Society and Industry
Abstract
Introduction
Key Sectors of Society and Industry
Automobile Sector
Locating Cars Set for Dispatch
Route Optimization for Self-Driving Vehicles
Reducing Traffic Congestion with Passenger Drones
Monitoring Motorway Breakdowns with Surveillance Drones
Drones and the Vehicular Inspection Process
How Oil and Gas Companies Will Use a Drone in the Future
Oil and Gas Exploration
Importance of Drone Technology in Real Estate Marketing
The Future of Drones in Real Estate
Drones for Traffic Monitoring
Drones for Border Surveillance
Drones Used in Emergency Cases
Delivery of Goods Using Drones
Drones Use in COVID 19 Managements
Importance of Drones in the Agriculture Field
Importance of Drones in the Construction Industry
Importance of Drones in the Medical Field
Conclusion
References
Chapter 3
Cloud-Based UAV Architecture, Security Concerns and Challenges
Abstract
Introduction
Architecture of IoD
Architectural Components or Elements
Communication Protocols
Challenges and Security Related to Privacy and Security
Global Challenges
Conclusion
References
Chapter 4
Drones and Their Utilities Using Emerging Technology
Abstract
Introduction
Types of Drones
Drones for Society and Commercial Drones
Internet of Drones
Requirements of the Internet of Drones (IOD)
Communication Requirements
Security Requirements
Blockchain Connected Drones
Conclusion
Future Scope
References
Chapter 5
Introduction to Machine Learning in UAVs
Abstract
Introduction
Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Deep Learning
Model of Neurons
Perceptron Algorithm
Artificial Neural Networks
Application of Machine and Deep learning in UAVs
Conclusion
References
Chapter 6
Decision Making Using Machine Learning in Drones
Abstract
Introduction
Machine Learning
Overview of Path Planning
Machine Learning For UAVs
Conclusion
References
Chapter 7
UAV Applications in Agriculture
Abstract
Introduction
UAV and Precision Agriculture
Fixed Winged
Quadcopter
Octocopter
Hybrid Vertical Take-Off Landing
Precision Agriculture
Agronomic Applications of the UAV
Plant Stress Detection
Mapping
Spraying
Irrigation
Advantages and Limitations of UAVs in Agriculture
Conclusion
References
Chapter 8
Drone Centric IoT-Fog-Cloud Based Smart Agriculture Support Service
Abstract
Introduction
Internet of Drone in Agriculture
Analysis of the Soil and the Field
Check the Health of Your Crops
Keep Chemicals to a Minimum
Prepare Yourself for Weather Hiccups
Observe the Development
Keeping an Eye on Things
Check Soil
Storage Built for Challenge
Water Flow
Prestisides
Harvesting
Drying, Monitoring, and Control
Proposed Framework
Drone
Platform
Sensors and Cameras
Wireless Sensors Network
Sensor Node
A Base Station
Gateways
Database
The Cloud Application
Conclusion
References
Chapter 9
Disaster Management Using Cloud-Based UAVs
Abstract
Introduction
Application of WSNs and Multi-UAVs in Disaster Management
Cloud and Uavs as a Solution to Disaster Management
IoT-Based UAVs for Disaster Management
Deep Learning-Based Image Classification for Disaster Management
Conclusion
References
Chapter 10
Blockchain-Based Methods to Overcome Security Issues in Drones
Abstract
Introduction
Attacks on Drones
Dictionary Attacks
Brute Force
Statistical Attacks
Man in Middle Attack
Deauthenticating Owner
Unauthorized Root Access Attack
Various Methods to Overcome Cyber Attacks in UAVs
Blockchain
Multi-Stage Defensive Architecture
One Time Password Protection
Intrusion Detection System
Conclusion
References
About the Editors
Index
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