Cloud computing technologies for smart agriculture and healthcare /
edited by Urmila Shrawankar, Latesh Malik, Sandhya Arora.
- First edition.
- 1 online resource (xvi, 326 pages).
- Chapman & Hall CRC cloud computing for society 5.0 .
Section 1: Cloud ManagementChapter 1. Virtualization Technology for Cloud Based ServicesDr. Urmila Shrawankar , Chetan Dhule Chapter 2. Hybrid cloud architecture for better cloud interoperabilityDr. Shweta Barhate, Dr Mahendra DhoreChapter 3. Autoscaling Techniques for Web Applications in the CloudPriya Deokar, Dr. Sandhya AroraChapter 4. Community Cloud Service Model for People with Special NeedsSampada Wazalwar, Dr. Urmila ShrawankarSection 2: Cloud for AgricultureChapter 5. Sensor Applications in Agriculture - A ReviewJyoti Lagad, Dr. Sandhya AroraChapter 6. Crop Biophysical Parameters Estimation using SAR Imagery for Precision Agriculture ApplicationsVaishali G BhujadeChapter 7. Importance of Cloud Computing Technique in Agriculture Field Using Different MethodologiesDr. Arvind Shivappa Kapse, Dr. Avinash Shivappa Kapse, Dr. Vilas M. ThakareChapter 8. Optimal clustering scheme for cloud operations management over mobile ad hoc network of crop systemsPoonam A. Gaikwad, Dr. Swati S. Sherekar, Dr. Vilas M. ThakareChapter 9. A Novel Hybrid Method for Cloud Security Using Efficient IDS for Agricultural Weather Forecasting SystemsRakshanda Kishor Borikar, Dr. Swati S. Sherekar, Dr. Vilas M. TharkareSection 3: Cloud for Healthcare Chapter 10. Cloud Model for Real Time Healthcare ServicesDr. Urmila Shrawanker , Girish TalmaleChapter 11. Cloud Computing Based Smart Healthcare SystemSumedha Sandip Borde, Dr Varsha RatnaparkheChapter 12. Rehearsal of Cloud and IoT device in Health Care systemDr. Bhargavi Salil ChinchmalatpureChapter 13. Cloud Based Diagnostic and Management Framework for Remote Health MonitoringBharati Dixit , Advait Brahme, Shaunak Choudhary, Manasi Agrawal, Atharva Viraj KukadeChapter 14. Efficient accessibility in cloud databases of health network with natural neighbor approach for RNN-DBSCANRupali Wadnare, Dr. S.S.Sherekar, Dr. V.M. ThakareChapter 15. Blood Oxygen Level And Pulse Rate Monitoring Using IoT and Cloud Based Data StorageLatesh Malik, Ameya Shahu, Sohan Rathod, Pranay Kuthe, Prachi PatilChapter 16. Parkinson disease prediction model and deployment on aws cloudHarshvardhan Tiwari , Shiji K Shridhar, Preeti V Patil, Sinchana K R, Aishwarya G Chapter 17. Federated Learning for Brain Tumor Segmentation on CloudDeep Gandhi, Jash Mehta, Nemil Shah, Dr. Ramchandra MangrulkarChapter 18. Smart System for COVID-19 Susceptibility Test and Prediction of Risk along with Validation of Guidelines Conformity using CloudDr. Rashmi Welekar, Manjiri Vairagade, Mohit Sawal, Shreya Rathi, Shrijeet Shivdekar, Siddhi BelgamwarChapter 19. Designing of Policy Data Prediction Framework in Cloud for Trending COVID-19 Issues over Social MediaShubham Nandkishor Ugale, Dr. Swati S. Sherekar , Dr. Vilas M. Thakare
Cloud is the advanced and fast-growing technology in the current era. The computing paradigm has changed drastically. It has given a new insight to see the computing world with the new characteristics like on-demand, virtualization, scalability and many more. Utility Computing, Virtualization and Service-Oriented Architecture (SoA) are the key characteristics of cloud computing. Cloud provides distinct IT services over the web as a pay-as-you-go and on-demand basis. Cloud Computing Technologies for Smart Agriculture and Healthcare aims to cover cloud management and framework. It focuses how cloud computing framework can be integrated with applications based on Agriculture, Healthcare. Features: Contains a systematic overview of the state-of-the-art, basic theories, challenges, implementation, and case studies on Cloud Technology. Discussion of recent research results and future advancement in Virtualization Technology. Focuses on core theories, architectures, and technologies necessary to develop and understand the computing models and its applications. Includes a wide range of examples that uses cloud technology for increasing farm profitability and sustainable production. Presents farming with cloud technology, that allows to aggregate, analyze, and share data across farms and the world. Includes cloud-based electronic health records with privacy and security. Offers suitable IT solutions to the global issues in the domain of agriculture and health care for society. This reference book is aimed at under-graduate and post-graduate programs. It will also help research scholars in their research work. The book also equips readers like scientists, business innovators, entrepreneurs, professionals and practitioners.