Intro
Preface
Acknowledgements
Contents
Editors and Contributors
1 Internet of Things-Based Digital Life to Provide Assisted Living for Visually Challenged Persons
1 Introduction
2 Review of Status of Research and Development
2.1 Background of the Problem
3 The Objectives
3.1 The Research Objective and Digital Life Prospective
3.2 Proposed System Design
4 Design Methodology, Implementation, Results, and Discussions
4.1 Computer Vision-Based Features
4.2 Geo-Fencing
4.3 Community Building
5 Conclusions and Future Scope
References

2 Impact of Information and Communication Technology on Tourist Spending
1 Introduction
2 Theoretical Framework
2.1 Importance of Tourism Worldwide
2.2 ICT Evolution
2.3 Incorporation of ICT in the Tourism Industry
3 Methodology
4 Results
4.1 First Stage: Results of the Simple Linear Regression Analysis
4.2 Second Stage: Results of the Multiple Linear Regression
5 Discussion
6 Conclusions
References
3 A Sustainable Approach to Manage the Inventory During Pandemic Through Passive RFID Tags
1 Introduction
2 Literature Review
3 Methodology

4 Call for RFID in Shopping Style During Pandemic
5 Case Description
6 Notations
7 Mathematical Modeling
8 Numerical Exemplification
9 Conclusion
References
4 Enhancing Agriculture Supply Chain Management Using Blockchain
1 Introduction
1.1 Background Statement
1.2 Motivation
2 Literature Review
2.1 Limitations of Ethereum Smart Contracts
2.2 Traceability
2.3 Types of Blockchain
2.4 Oracle
2.5 Markov Process
2.6 Hypergraphs
2.7 Queueing Model
3 System Design
3.1 The Consensus Algorithm
3.2 Byzantine Fault Tolerance (BFT)

3.3 Proof-Of-Concept (PoC)
3.4 Proof-Of-Work (PoW)
3.5 Proof-of-Stake (PoS)
3.6 Stakeholders
4 Implementation of System with Its Methodology
4.1 Sequence Diagram
4.2 Remix
4.3 Ganache
5 Results and Discussions
5.1 Multi-chain Management
6 Conclusion
References
5 A Deep Analysis of Gilled Mushroom Edibility Prediction Using Dimensionality Reduction Techniques
1 Introduction
2 Materials and Methods
2.1 Dataset
2.2 Pre-processing the Data
3 Classification Methods
3.1 Logistic Regression (LR)
3.2 Decision Trees (DT)
3.3 Naïve Bayes (NB)

3.4 Random Forest (RF)
3.5 Support Vector Machine (SVM)
3.6 K-Nearest Neighbor (KNN)
3.7 Artificial Neural Network (ANN)
4 Evaluation Metrics
5 Results and Discussion
6 Conclusion and Future Work
References
6 Smartphone Retail-Purchase Buying Intentions: Investigation of Planned Behaviour in Indian Context
1 Introduction
2 Review of Literature
2.1 Smartphone Purchase
2.2 Demographic Differentiators-Online Versus Offline
2.3 Channel Choice Differentiators-Online Versus Offline
3 Objectives
4 Methodology
4.1 Qualitative Study
4.2 Quantitative Study