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

14Importance of Drone Technology in Agriculture

Karuppiah Natarajan^1*, Karthikeyan R.² and Rajalingam S.³

¹ Department of Electrical and Electronics Engineering, Vardhaman College of Engineering, Hyderabad, India

² Department of Artificial Intelligence & Machine Learning (CSE), Vardhaman College of Engineering, Hyderabad, India

³ Sunyani Technical University, Bono Region, Ghana, West Africa

Abstract

This chapter deals with the role of the Unmanned Ariel Vehicle (UAV) in managing natural resources and agricultural farms. The application of drones in agriculture reduces a lot of manpower and increases productivity by a huge amount. Smart drones help farmers to estimate crop production. The development of technology in drones supports the farmers to test the soil fertility. It provides effective and efficient results. Agricultural drones (AD) are a recent wonder that has been introduced into farming areas. These are small and fly above the cropland from a distance of 100–400 feet. It is able to capture and analyze images instantly. The results are amazing and more accurate. Most of the start-ups in North America and European countries are funding huge amounts of money for developing AD. The AD helps to identify the soil fertility, crop diseases, natural resources available in the soil, and crops yielding estimation. It also helps to find the intruders to crops such as insects, rats, and other animals that affect the crops.

Keywords: Unmanned ariel vehicle (UAV), agricultural ...