Drone Data Analytics in Aerial Computing 9789819950560, 9789819950553
This book discusses the latest research, theoretical, and experimental research innovations in drone data analytics in a
170 60 52MB
English Pages 290 Year 2023
- Author / Uploaded
- P. Karthikeyan
- Sathish Kumar
- V. Anbarasu
Table of contents :
Cover
Front Matter
1. Introduction to Drone Data Analytics in Aerial Computing
2. A Study in Federated Learning Analytics for UAV
3. Analysis of Geospatial Data Collected by Drones as Part of Aerial Computing
4. Beach Wrack Identification on Unmanned Aerial Vehicles Dataset Using Artificial Intelligence for Coastal Environmental Management
5. Environmental Drones for Autonomous Air Pollution Investigation, Detection, and Remediation
6. Detection of Pathogens in Plant Leaves Using Drone-Based Deep Learning Approach
7. Artificial Intelligence Based Drones for Plant Disease Detection
8. Machine Vision in UAV Data Analytics for Precision Agriculture
9. Smart IoT Drone-Rover for Sustainable Crop Prediction Based on Mutual Subset Feature Selection Using U-Net CNN for Sustainable Crop Recommendation
10. IoT-Based Automatic Drip Irrigation Control Using Intelligent Agriculture
11. IOT-Based Innovative Agriculture Farming System Based on Rover-Drone Surveillance Sensing Unit Using Feature Selection and Classification Techniques
12. Village Mapping for Micro-level Planning Using UAV Technology
13. An In-Sight Analysis of Cyber-Security Protocols and the Vulnerabilities in the Drone Communication
14. Introspecting the Impact of Selected Macro-economic Variables and Policy Interventions in Unmanned Aerial Vehicle (UAV) Sector: The Case of India
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