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082 0 4 _a006.3
_223
245 1 0 _aDrone Data Analytics in Aerial Computing
_h[electronic resource] /
_cedited by P. Karthikeyan, Sathish Kumar, V. Anbarasu.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aXVI, 274 p. 117 illus., 99 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTransactions on Computer Systems and Networks,
_x2730-7492
500 _aAcceso multiusuario
505 0 _aIntroduction 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. .
520 _aThis book discusses the latest research, theoretical, and experimental research innovations in drone data analytics in aerial computing. Drone data analytics guarantees that the right people have the correct data at their fingertips whenever they need it. The contents also discuss the challenges faced with drone data analytics, such as due to the high mobility of drones, aerial computing is significantly different from terrestrial computing. It also includes case studies from leading drone vendors. The book also focuses on the comparison of data management and security mechanisms in drone data analytics. This book is useful to those working in agriculture, mining, waste management, and defenses department.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aArtificial intelligence.
650 0 _aQuantitative research.
650 1 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence.
650 2 4 _aData Analysis and Big Data.
700 1 _aKarthikeyan, P.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKumar, Sathish.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAnbarasu, V.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819950553
776 0 8 _iPrinted edition:
_z9789819950577
776 0 8 _iPrinted edition:
_z9789819950584
830 0 _aTransactions on Computer Systems and Networks,
_x2730-7492
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-5056-0
912 _aZDB-2-INR
912 _aZDB-2-SXIT
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