Drone Data Analytics in Aerial Computing

<div>Introduction to Drone Data Analytics in Aerial computing.- A Study in Federated Learning Analytics for UAV.- Analysis of Geospatial Data Collected by Drones as Part of Aerial Computing.- Beach wrack identification on unmanned aerial vehicles dataset using Artificial Intelligence for Coastal Environmental Management.- Environmental drones for autonomous air pollution investigation, detection, and remediation.- Detection of Pathogens in Plant Leaves using Drone-based Deep Learning Approach.- Artificial Intelligence Based Drones for Plant Disease Detection.- Machine vision in UAV Data Analytics for Precision Agriculture.- Smart IoT Drone-Rover for Sustainable Crop Prediction Based on Mutual Subset Feature Selection Using U-Net CNN For Sustainable Crop Recommendation.- IoT Based Automatic Drip Irrigation Control Using Intelligent Agriculture.- IOT-Based Innovative Agriculture Farming System Based on Rover-Drone Surveil-lance Sensing Unit Using Feature Selection and Classification Techniques.- Village mapping for micro level planning using UAV technology.- An in-sight analysis of Cyber-security Protocols and the Vulnerabilities in the Drone Communication.- Introspecting the Impact of Selected Macro-Economic Variables and Policy Interventions in Unmanned Aerial Vehicle (UAV) Sector: The Case of India.&nbsp;&nbsp;</div>