Revolutionary Applications of Intelligent Drones

Description

"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"-- 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 Blank Page