book

Drone Technology

by Sachi Nandan Mohanty, J. V. R. Ravindra, G. Surya Narayana, Chinmaya Ranjan Pattnaik, Y. Mohamed Sirajudeen

June 2023

Intermediate to advanced

464 pages

13h 3m

English

Wiley-Scrivener

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1.1 Introduction1.2 Forces Acting on a Drone1.3 Principal Axes1.4 Broad Classification of Drones1.5 Military Necessity of Drones1.6 Conclusion and Future ScopeReferences
2.1 Introduction2.2 How Drones Work and Their Anatomy2.3 Salient Features and Important Codes with Public Awareness with Respect to Safety and Necessary Precautionary Points2.4 Top 10 Stunning Applications of Drone Technology2.5 Drones in Enterprises: What Value Do They Add? Work Place Safety and Industry Benchmarks2.6 Advantages and Disadvantages of Drones2.7 Drone Technology as Career and Offered Jobs in the Current Industry2.8 Societal Impact—Commercial Drones2.9 Drones Research Challenges and Solutions2.10 ConclusionReferences
3.1 Introduction3.2 Classification of Various Categories of Air Drones3.3 Drones Acting on Various Industries3.4 Conclusions and Future ScopeReferences
4.1 Introduction4.2 Classification of Drones4.3 Flight Performance Analysis4.4 Dynamics and Design Objectives of Drones4.5 Design Methods and Challenges4.6 Guidance, Navigation, and Control of Drones4.7 ConclusionReferences
5.1 Introduction5.2 Evolution of the Drone5.3 Drone Features5.4 AI Meets Drones5.5 Use Cases5.6 ConclusionReferences

6.1 Introduction6.2 Drone Technology6.3 India 2021: The Drone Policy and Rules6.4 Unmanned Aerial Vehicle (UAV) or Drone Application6.5 ConclusionReferences
7.1 Introduction7.2 Review of Literature7.3 AI in Drone Navigation7.4 Companies that Use the AI Drone to Solve Big Problems7.5 Drone Applications Using AI7.6 Issues in the Integration of AI with Drones7.7 ConclusionReferences
8.1 Introduction8.2 Drone Hardware8.3 Components of UAV8.4 Literature Survey8.5 Analysis and DiscussionConclusionReferences
9.1 Introduction to Smart Cities9.2 Components and Characteristics of Smart Cities9.3 The Role of IoT in Smart Cities9.4 General Approach to Implement IoT Solutions in Smart City Design9.5 Challenges in IoT Solutions to Use in Smart City Design9.6 Introduction to Unmanned Aerial Vehicles9.7 Opportunities and Challenges of UAV’s in Smart Cities9.8 Drone-Enabled IoT9.9 Conclusion and Future ScopeReferences
10.1 Introduction10.2 Literature Survey10.3 Proposed Model10.4 Deep Learning Model Safeties10.5 Performance Evaluation10.6 Conclusion10.7 Conclusion and Future WorkAcknowledgementsReferences
11.1 Introduction11.2 Research Methodology11.3 Motivation11.4 Machine Learning for Drone Security11.5 Use of AI in Cyber Security11.6 Use of AI in System to Achieve Robustness, Resilience and Response11.7 NIC Algorithms in Cyber Security11.8 Example Systems for AI and ML Applications for Cyber Security Diagnose11.9 Introduction of New Threats11.10 Areas were Malicious Use of Deepfakes is Trending11.11 Model-Aided Deep Reinforcement Learning for Sample-Efficient UAV Trajectory Design in IoT Networks11.12 Model-Aided Deep Q-Learning11.13 Algorithm Model-Aided Deep Q-Learning Trajectory Design11.14 Machine Learning for Drone Security11.15 Surveillance11.16 Technologies Driving Drones’ Success11.17 Related Work11.18 Drones for Public Safety11.19 Securing Drones11.20 Future Work11.21 ContributionsConclusionReferences
12.1 Introduction to IoT Enabled UAV12.2 Drones in Precision Farming12.3 Challenges and Future Scope in IoT-Enabled Drone12.4 Results and DiscussionAcknowledgementReferences
13.1 Introduction to Military Drones13.2 Literature Review13.3 Methodology of UAV’s in Military Applications13.4 Software Implementation13.5 ConclusionReferences
14.1 Introduction14.2 Components of a Drone14.3 Study of Natural Resources14.4 Soil Fertility Management14.5 Irrigation and Water Management14.6 Crop Disease Identification14.7 Pest Control Management14.8 Agricultural Drones to Improve Crop Yield Management Efficiency14.9 Issues and Challenges14.10 ConclusionReferences
15.1 Introduction15.2 Related Works15.3 Drone Intrusion Detection Methodology15.4 Results and Discussion15.5 ConclusionReferences
16.1 Introduction16.2 Related Works16.3 Applications of DronesAerial Vehicle Applications in HealthcareCommunication Protocols and TechnologyCommunication ArchitectureComponents16.4 Suggested Framework16.5 Challenges16.6 ConclusionFuture ScopesReferences
17.1 Introduction17.2 History of Drones17.3 Drone Delivery in Healthcare17.4 Drone Delivery of Food17.5 Drone Delivery in Postal Service17.6 Delivery of GoodsAcknowledgementsReferences

Content preview from Drone Technology

12IoT-Enabled Unmanned Aerial Vehicle: An Emerging Trend in Precision Farming

Gayatri Phade^1*, A. T. Kishore², S. Omkar³ and M. Suresh Kumar⁴

¹ Sandip Institute of Technology & Research Center, Nashik, India

² Vidya Sangha Pvt Ltd, Bangalore, India

³ Aerospace Engg IISc, Bangalore, India

⁴ Aerospace Department, Sandip University, Nashik, India

Abstract

Farmers of the twentieth century are adopting the use of leading technical facilities in the field of agriculture to sustain the competitiveness of the global market economy. With the help of modern technology, they are trying to reduce production costs and improve crop yield with better product quality. A new era in which many traditional agricultural practices are replaced by cutting-edge technologies like Precision Farming (PF), which entails applying the agronomic variables in the right place, at the right time, has been ushered in by technological advancements made in monitoring, supervision, management, and control systems. One of the methods that will enable quick and non-destructive analysis of agricultural data will turn out to be an IoT integrated smart agriculture drone. This includes taking pictures to analyze crop behavior, finding out how much water the soil can contain, managing irrigation systems, etc. Numerous engineering disciplines, including aerodynamics, electronics, computer programming, and economics are integrated in the design, development, and implementation of drone-based agricultural systems. In considering ...