Başlık:
Drone Data Analytics in Aerial Computing
Yazar:
Karthikeyan, P. editor.
ISBN:
9789819950560
Basım Bilgisi:
1st ed. 2023.
Fiziksel Tanımlama:
XVI, 274 p. 117 illus., 99 illus. in color. online resource.
Seri:
Transactions on Computer Systems and Networks,
İçerik:
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. .
Tüzel Kişi Ek Girişi:
Elektronik Erişim:
https://doi.org/10.1007/978-981-99-5056-0Kopya:
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