Cloud computing technologies for smart agriculture and healthcare / edited by Urmila Shrawankar, Latesh Malik, Sandhya Arora.

Other author Shrawankar, Urmila.
Other author Malik, Latesh.
Other author Arora, Sandhya.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : Chapman & Hall/CRC Press, 2022.
Description1 online resource
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

SeriesChapman & Hall CRC cloud computing for society 5.0
Contents Virtualization technology for cloud based services / Urmila Shrawankar, Chetan Dhule -- Hybrid cloud architecture for better cloud interoperability / Shweta Barhate, Mahendra Dhore -- Autoscaling techniques for web applications in the cloud / Priya Deokar, Sandhya Arora -- Community cloud service model for people with special needs / Sampada Wazalwar, Urmila Shrawankar -- Sensor applications in agriculture--a review / Jyoti Lagad, Sandhya Arora -- Crop biophysical parameters estimation using SAR imagery for precision agriculture applications / Vaishali G. Bhujade -- Importance of cloud computing technique in agriculture field using different methodologies / Arvind Shivappa Kapse, Avinash Shivappa Kapse, Vilas M. Thakare -- Optimal clustering scheme for cloud operations management over mobile ad hoc network of crop systems / Poonam A. Gaikwad, Swati S. Sherekar, Vilas M. Thakare -- A novel hybrid method for cloud security using efficient IDS for agricultural weather forecasting systems / Rakshanda Kishor Borikar, Swati S. Sherekar, Vilas M. Tharkare -- Cloud model for real time healthcare services / Urmila Shrawanker, Girish Talmale -- Cloud computing based smart healthcare system / Sumedha Sandip Borde, Varsha Ratnaparkhe -- Rehearsal of cloud and IoT device in health care system / Bhargavi Salil Chinchmalatpure -- Cloud based diagnostic and management framework for remote health monitoring / Bharati Dixit, Advait Brahme, Shaunak Choudhary, Manasi Agrawal, Atharva Viraj Kukade -- Efficient accessibility in cloud databases of health network with natural neighbor approach for RNN-DBSCAN / Rupali Wadnare, S.S.Sherekar, V.M. Thakare -- Blood oxygen level and pulse rate monitoring using IoT and cloud based data storage / -- Latesh Malik, Ameya Shahu, Sohan Rathod, Pranay Kuthe, Prachi Patil -- Parkinson disease prediction model and deployment on AWS cloud / Harshvardhan Tiwari, Shiji K. Shridhar, Preeti V. Patil, Sinchana K.R., Aishwarya G. -- Federated learning for brain tumor segmentation on cloud / Deep Gandhi, Jash Mehta, Nemil Shah, Ramchandra Mangrulkar -- Smart system for COVID-19 susceptibility test and prediction of risk along with validation of guidelines conformity using cloud / Rashmi Welekar, Manjiri Vairagade, Mohit Sawal, Shreya Rathi, Shrijeet Shivdekar, Siddhi Belgamwar -- Designing of policy data prediction framework in cloud for trending COVID-19 issues over social media / Shubham Nandkishor Ugale, Swati S. Sherekar, Vilas M. Thakare.
Abstract "Cloud Computing Technologies for Smart Agriculture and Healthcare aims to cover the cloud management and framework. It discusses how cloud computing framework can be integrated with fog computing, edge computing, deep learning and IOT. This book will be divided in two application parts: Agriculture and Healthcare. Discusses fundamentals theories to practical and sophisticated applications of Cloud Technology for Agriculture and Healthcare Includes case studies Concepts are illustrated well with appropriate figures, tables and simple language This book is primarily aimed at graduates and researchers to understand the echo system of cloud technology for agriculture and healthcare"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Cloud computing technologies for smart agriculture and healthcare First edition. Boca Raton : Chapman & Hall/CRC Press, 2022 9781032068039
Genre/formElectronic books.
LCCN 2021032158
ISBN9781000508918 (epub)
ISBN9781003203926 (ebook)
ISBN(hardback)
ISBN(paperback)

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