Cloud Computing Technologies for Smart Agriculture and Healthcare

The Cloud is an advanced and fast-growing technology in the current era. The computing paradigm has changed drastically. It provided a new insight into the computing world with new characteristics including on-demand, virtualization, scalability and many more. Utility computing, virtualization and service-oriented architecture (SoA) are the key characteristics of Cloud computing. The Cloud provides distinct IT services over the web on a pay-as-you-go and on-demand basis. Cloud Computing Technologies for Smart Agriculture and Healthcare covers Cloud management and its framework. It also focuses how the Cloud computing framework can be integrated with applications based on agriculture and healthcare. Features: - Contains a systematic overview of the state-of-the-art, basic theories, challenges, implementation, and case studies on Cloud technology - Discusses 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 the farming industry with Cloud technology that allows it toaggregate, analyze, and share data across farms and the world - Includes Cloud-based electronic health records with privacy and security features - Offers suitable IT solutions to the global issues in the domain of agriculture and health care for society This reference book is aimed at undergraduate and post-graduate programs. It will also help research scholars in their research work. This book also benefits like scientists, business innovators, entrepreneurs, professionals, and practitioners.

Urmila Shrawankar received PhD degree in Computer Sci & Engg from SGB Amravati University and M.Tech. degree in Computer Sci & Engg from RTM Nagpur university. Her Area of interest includes High performance Computing, Advanced Operating Systems, Distributed and Parallel computing, Cloud Computing, Real Time Computing, Algorithms, Assistive Technology etc. She is author of two books, three books editor, nine book chapters and around 200 research papers in International Journals and Conferences of high repute. She has published 16 patents. Her biography was selected and published in the Marquis Who's Who in the World. She received International travel grant award from DST, Govt. of India, awarded UGC Minor Project Grant and RGSTC : Rajiv Gandhi Science and Technology Commission, Government of Maharashtra, India, Science and Technology Research Grant Scheme for 2 projects. She is serving many journals as editorial board member and as member, international advisory board. Moreover, she is serving as reviewer for many refereed Journals and reputed Conferences. She participated in many International conferences worldwide as a core organizing committee member, Technical program committee member, Special session chair and Session Chair. She has delivered 50+ expert lectures on various topics for different universities. Dr Urmila is member of IEEE, ACM, CSI, ISTE, IE, IAENG, etc. Under her guidance 15 industry based projects, 51 UG (BE) Project Groups, 72 (PG) MTech Project Scholars and one ME by Research Scholar completed their projects and 03 PhD Research Scholars are working. At present, Dr. Urmila is a Professor, Department of Computer Science and Engineering, G H Raisoni College of Engineering, affiliated to RTM Nagpur University Nagpur (MS), India. Dr. Latesh Malik is working as Associate Professor & Head,Department of Computer Science & Engg, Government College of Engineering, Nagpur. She has completed Ph.D. (Computer Science & Engineering) from Visvesyaraya National Institute of Technology in 2010, M.Tech. (Computer Science & Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E. (Computer Engineering) from University of Rajasthan, India . She is gold medalist in B.E. and M.Tech. She has teaching experience of 20+ years. She is life member of ISTE, CSI, ACM and has more than 160 papers published in International Journal & Conferences. She is recipient of 2 RPS and 1 MODROBs by AICTE. She guided 30+ PG projects and 8 students completed Ph.D under her. She is author of three books " Practical guide to distributed systems in MPI" and "Python for Data Analysis" on Amazon Kindle Direct Publishing and "R programming for beginners" by University Press India. Dr. Sandhya Arora is working as Professor, Department of Computer Enginering, MKSSS's Cummins College of Engineering for Women, Pune. She has completed Ph.D. (Computer Science & Engineering) from Jadavpur University, Kolkata in 2012, M.Tech. (Computer Science & Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E. (Computer Engineering) from University of Rajasthan, India. She has rich teaching experience of 22+ years. She is life member of ISTE, CSI, ACM and has published papers in thoroughly acclaimed International Journal & Conferences. She is guiding PG and PhD students. She has received prestigious awards in the field of Computer Science. She authored two books "Practical guide to distributed systems in MPI" and "Python for Data Analysis" on Amazon Kindle Direct Publishing.

Section I: Cloud Management Chapter 1. Virtualization Technology for Cloud-Based Services. Chapter 2. Hybrid Cloud Architecture for Better Cloud Interoperability. Chapter 3. Autoscaling Techniques for Web Applications in the Cloud. Chapter 4. Community Cloud Service Model for People with Special Needs Section II: Cloud for Agriculture Chapter 5. Sensor Applications in Agriculture - A Review. Chapter 6. Crop Biophysical Parameters Estimation using SAR Imagery for Precision Agriculture Applications. Chapter 7. Importance of Cloud Computing Technique in Agriculture Field Using Different Methodologies. Chapter 8. Optimal Clustering Scheme for Cloud Operations Management Over Mobile Ad Hoc Network of Crop Systems. Chapter 9. A Novel Hybrid Method for Cloud Security Using Efficient IDS for Agricultural Weather Forecasting Systems Section III: Cloud for Healthcare Chapter 10. Cloud Model for Real-Time Healthcare Services. Chapter 11. Cloud Computing-Based Smart Healthcare System. Chapter 12. Rehearsal of Cloud and IoT Devices in Health Care System. Chapter 13. Cloud-Based Diagnostic and Management Framework for Remote Health Monitoring. Chapter 14. Efficient Accessibility in Cloud Databases of Health Networks with Natural Neighbor Approach for RNN-DBSCAN. Chapter 15. Blood Oxygen Level And Pulse Rate Monitoring Using IoT and Cloud-Based Data Storage. Chapter 16. Parkinson Disease Prediction Model and Deployment on AWS Cloud. Chapter 17. Federated Learning for Brain Tumor Segmentation on the Cloud. Chapter 18. Smart System for COVID-19 Susceptibility Test and Prediction of Risk along with Validation of Guidelines Conformity using Cloud. Chapter 19. Designing of Policy Data Prediction Framework in Cloud for Trending COVID-19 Issues over Social Media

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