Drone Data Analytics in Aerial Computing
tarafından
 
Karthikeyan, P. editor.

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. .

Konu Terimleri
Computational intelligence.
 
Artificial intelligence.
 
Quantitative research.
 
Data Analysis and Big Data.

Yazar Ek Girişi
Karthikeyan, P.
 
Kumar, Sathish.
 
Anbarasu, V.

Tüzel Kişi Ek Girişi
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-981-99-5056-0


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