book

Internet of Drones

by Saravanan Krishnan, M. Murugappan

May 2023

Intermediate to advanced

218 pages

6h 40m

English

CRC Press

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1.1 Introduction1.1.1 How IoDs Work?1.2 Applications of IoDs1.2.1 Warfare1.2.2 Disaster Management1.2.3 Smart Surveillance1.2.4 Smart Agriculture1.2.5 Firefighting1.3 Components of IoDs1.3.1 UAV Parts in Construction1.3.2 UAV Communication1.3.3 Communication Requirements (Data)1.3.4 Security Requirements1.4 Artificial Intelligence (AI) for IoD1.5 ConclusionReferences
2.1 Introduction2.2 Literature Review2.3 Methodology2.3.1 Design Selection2.3.2 Selection of Airfoil2.3.3 Selection of Motors2.3.4 Schematic Diagram of UAV Components2.3.5 Specifications of UAV2.3.6 Component Selection and Weight Estimation2.3.7 Selection of Winglet2.4 Results and Discussion2.4.1 ANSYS Simulations and Results2.4.2 Physical Modeling in a Simulation Platform2.4.3 UAV Dynamics (U1 [N])2.5 Experimental Setup2.5.1 Rotary-Wing UAV2.5.2 Fixed-Wing UAV2.5.3 Software Setup2.6 ConclusionReferences

3.1 Introduction to Unmanned Aerial Vehicle3.2 UAV in Industry 5.03.3 Drone Ecosystem in the Machine Learning Industry3.3.1 Computers and Wireless Networks3.3.2 Sustainable Smart Cities and Military Facilities3.3.3 Farming3.3.4 Others3.4 Market Analysis3.4.1 Machine Learning–Assisted Framework3.4.2 Learning Models3.4.3 Challenges in the Current Research Work3.5 ConclusionAcknowledgmentReferences
4.1 Introduction4.1.1 IoD–Internet of Drones4.1.2 Drones in Health Care4.2 Internet of Medical Drone (IoMD) in Health Care4.3 Architecture of Healthcare IoMD4.3.1 Data Collection Phase4.3.2 Data Reporting Phase4.3.3 Data Processing Phase4.3.4 Tools and Technologies of IoMD4.4 Applications of IoMD Healthcare System4.4.1 Search and Rescue4.4.2 Transport and Delivery4.4.3 Medical Care4.5 Usage of IoMD for Health Care4.5.1 Drone Functions to Combat COVID-19 in India4.6 Recent Technologies in Healthcare IoMD4.6.1 IoMDs4.6.2 Cloud/Edge Computing4.6.3 Internet Protocols4.6.4 Artificial Intelligence4.6.5 Blockchain4.7 Challenges and Open Issues for Future Research4.7.1 Challenges in IoMD for Healthcare Services4.7.2 Research Gap and Future Direction on IoMD4.8 ConclusionsReferences
5.1 Introduction5.2 Dividing Sections into COVID Divisions with Voronoi Diagrams5.3 Cost Optimization with Dynamic Connectivity5.4 Dynamic Connectivity with Euler Tour Trees5.5 Dynamic Connectivity with Cut-sets5.6 Results and ObservationReferences
6.1 Introduction6.2 Conceptual Design: Main Components6.3 Systems for Searching Human Presence – A Survey6.3.1 Human Presence Detection Employing MMW6.3.2 Method of Identifying Humans from Other Moving Creatures6.3.3 The Image Processing by Using Thermal Image Technique – Haar-Cascade Classifier6.3.4 The Random Human Body Motion6.3.5 Heartbeat Sensing by Using Doppler Radar6.3.6 Design of Robotic Arm in a UAD6.4 Unmanned Ambulance Drone Prototype Specification Details6.5 ConclusionReferences
7.1 Introduction7.2 Scope for Precision Agriculture7.3 The Architecture of Drones in Precision Agriculture7.3.1 Mode of Operation7.3.2 Ground Control Station (GCS)7.3.3 Drone Control System7.3.4 Data Acquisition Sensors7.4 Agro Drones Available on the Market for Precision Agriculture7.5 Implementation of IoT Architecture7.5.1 Image Processing Techniques Implementation7.5.2 Map Generation Technique7.6 Applications of Agro Drones in Precision Agriculture7.6.1 Weed Mapping and Management7.6.2 Monitoring the Growth of the Vegetation and Estimating the Yield7.6.3 Disease Detection and Monitoring of Vegetation7.6.4 Irrigation Management7.6.5 Corps Spraying7.6.6 Crop Scouting7.6.7 Irrigation Monitoring and Inspection7.6.8 Pesticide Spraying7.7 Challenges to Implementing Precision Agriculture Using Agro Drones7.8 Benefits of Drones in Agriculture7.8.1 Safety7.8.2 Time Saving7.8.3 Wastage Reduction7.8.4 Water Conservation7.8.5 Cost Saving7.8.6 User-Friendly7.8.7 Improves Productivity7.8.8 Pollution Reduction7.8.9 Employment Opportunities7.9 ConclusionReferences
8.1 Introduction8.1.1 Competition Between Crops and Weeds8.2 Related Work8.3 WeeDrone8.4 Features of WeeDrone8.4.1 Shortest Path Algorithm8.4.2 OpenDroneMap8.4.3 Machine Learning Algorithm8.4.4 Removal of Diseased/Dead Plant8.4.5 Sowing and Spreading Manure8.4.6 Data Analysis8.5 Design and Working Principle8.6 Outputs and Simulation8.6.1 Autonomous Flight8.6.2 Image Processing8.6.3 Robotic Arm Design8.7 ConclusionReferences
9.1 Introduction9.2 Precision Agriculture9.2.1 What Is Precision Agriculture?9.2.2 Importance of Precision Agriculture9.2.3 Advantages of Precision Agriculture9.3 Drones' Part in Precision Agriculture9.3.1 Need and Use of Drones in Agriculture9.3.2 Best Agricultural Drone Practices in Precision Agriculture9.4 Types of Precision Agriculture9.4.1 Precision Seeding9.4.2 Precision Soil Preparation9.4.3 Precision Crop Management9.4.4 Precision Fertilizing9.4.5 Precision Harvesting9.5 Use Cases of Agricultural Drones9.5.1 Case Study: Reducing Herbicide Use in Brazil9.5.2 Drones – VTOL and VTOL Hybrid Drones9.5.3 Japan's Suitable Point of Reference9.5.4 Using Drones to Spot Disease and Weed Infestations in Sugar Beets9.6 Future of Agriculture Drones9.6.1 Application of 3D Printing Technology to Food9.6.2 Internet of Things (IoT)9.6.3 Automation of Skills and Workforce9.6.4 Data-Driven Farming9.6.5 Chatbots9.6.6 Drone Technology9.6.7 Unmanned Aerial Vehicles9.6.8 Blockchain and Securing the Agriculture Value Chain9.6.9 Nanotechnology and Precision Agriculture9.6.10 Food Sharing and Crowd Farming9.6.11 Internet of Agro-Drone Things (IoDT)9.7 ConclusionReferences
10.1 Introduction10.1.1 Rescue10.1.2 Surveillance10.1.3 Detection of Bogeys10.1.4 Warfare10.1.5 Disaster Management10.1.6 Firefighting Drones10.2 Swarm of Drones10.3 General System Architecture10.3.1 Air Space Control10.4 Wireless Networks10.4.1 Cellular Networks10.5 Satellite-UAV Communication10.6 Cloud Computing for Drones10.7 ConclusionsReferences
11.1 Introduction11.1.1 Optical Flow11.2 Related Works11.3 Methodology11.3.1 Aircraft Navigation and Path Planning11.3.2 Technology Readiness Level11.3.3 Process of OFN11.3.4 Optical Flow Field11.3.5 Collision Avoidance11.3.6 Modeling Using SQUADRON 211.3.7 Integration11.3.8 Brightness Constancy Assumption11.4 Results and Discussion11.5 Conclusion and Future ScopeReferences