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Table of Contents
Intro
Preface
Organization
Contents
IoT for Smart Villages
aGROdet: A Novel Framework for Plant Disease Detection and Leaf Damage Estimation
1 Introduction
1.1 Research Problem
1.2 Proposed Solution
2 Significance of aGROdet in a Smart Village Context
3 Related Works
3.1 Single Plant/Crop Diseases Detection
3.2 Multi Plants/Crops Diseases Detection
4 Proposed A-CPS
5 aGROdet: Proposed Method
5.1 Detection of Plant Disease
5.2 Estimation of Leaf Damage Severity
6 Performance Evaluation of aGROdet
6.1 Disease Detection
6.2 Leaf Damage Severity Estimation
6.3 Comparative Analysis
7 Conclusion and Future Work
References
PUFchain 3.0: Hardware-Assisted Distributed Ledger for Robust Authentication in the Internet of Medical Things
1 Introduction
2 Novel Contributions
3 Related Research Overview
4 Tangle DLT
4.1 IOTA Tangle
4.2 MAM Overview
5 PUFchain 3.0: A Hardware Assisted Robust Authentication Mechanism Using Tangle
5.1 PUF Overview
5.2 Working of Proposed PUFchain 3.0
6 Implementation and Validation
7 Conclusions
References
On the Optimization of LoRaWAN Gateway Placement in Wide Area Monitoring Systems
1 Introduction
2 Related Work
3 Problem Statement
3.1 Definitions and Notation
3.2 LGP Problem Formulation
4 Analysis of Results
5 Conclusions and Future Work
References
Agri-Aid: An Automated and Continuous Farmer Health Monitoring System Using IoMT
1 Introduction
2 Motivation Behind the Proposed Agri-Aid System
3 Related Prior Research
3.1 Major Issues with the Existing Solutions
4 Novel Contributions and Issues Addressed Through Agri-Aid
5 Various Parameters Considered for Farmer Health in Agri-Aid
5.1 Vital and Physiological Parameters
5.2 Weather and Geographical Parameters
6 Architectural Flow and Feature Extraction for Farmer Health in Agri-Aid
6.1 Physiological and Vital Sensor Data Unit
6.2 Weather and Environmental Signal Data Unit
6.3 Geographical Signal Data
6.4 Parameter Analysis Unit
6.5 Farmer Health Analyses and Control Unit
7 Design Flow of the Proposed Agri-Aid for Farmer Health Analyses
8 Implementation and Validation for Farmer Health Analyses in Agri-Aid
8.1 Signal Data Acquisition
8.2 Machine Learning Model for Training and Testing in Agri-Aid System
9 Conclusions and Future Research
9.1 Conclusions
9.2 Future Research
References
A Smart Agriculture Framework to Automatically Track the Spread of Plant Diseases Using Mask Region-Based Convolutional Neural Network
1 Introduction
2 Prior Research Work
2.1 Classification Based Approaches
2.2 Region-of-Interests (ROI) Based Approaches
3 Proposed Method
3.1 Overview: Proposed Agriculture Cyber Physical System
3.2 Methodology for Disease Detection and Localization
Preface
Organization
Contents
IoT for Smart Villages
aGROdet: A Novel Framework for Plant Disease Detection and Leaf Damage Estimation
1 Introduction
1.1 Research Problem
1.2 Proposed Solution
2 Significance of aGROdet in a Smart Village Context
3 Related Works
3.1 Single Plant/Crop Diseases Detection
3.2 Multi Plants/Crops Diseases Detection
4 Proposed A-CPS
5 aGROdet: Proposed Method
5.1 Detection of Plant Disease
5.2 Estimation of Leaf Damage Severity
6 Performance Evaluation of aGROdet
6.1 Disease Detection
6.2 Leaf Damage Severity Estimation
6.3 Comparative Analysis
7 Conclusion and Future Work
References
PUFchain 3.0: Hardware-Assisted Distributed Ledger for Robust Authentication in the Internet of Medical Things
1 Introduction
2 Novel Contributions
3 Related Research Overview
4 Tangle DLT
4.1 IOTA Tangle
4.2 MAM Overview
5 PUFchain 3.0: A Hardware Assisted Robust Authentication Mechanism Using Tangle
5.1 PUF Overview
5.2 Working of Proposed PUFchain 3.0
6 Implementation and Validation
7 Conclusions
References
On the Optimization of LoRaWAN Gateway Placement in Wide Area Monitoring Systems
1 Introduction
2 Related Work
3 Problem Statement
3.1 Definitions and Notation
3.2 LGP Problem Formulation
4 Analysis of Results
5 Conclusions and Future Work
References
Agri-Aid: An Automated and Continuous Farmer Health Monitoring System Using IoMT
1 Introduction
2 Motivation Behind the Proposed Agri-Aid System
3 Related Prior Research
3.1 Major Issues with the Existing Solutions
4 Novel Contributions and Issues Addressed Through Agri-Aid
5 Various Parameters Considered for Farmer Health in Agri-Aid
5.1 Vital and Physiological Parameters
5.2 Weather and Geographical Parameters
6 Architectural Flow and Feature Extraction for Farmer Health in Agri-Aid
6.1 Physiological and Vital Sensor Data Unit
6.2 Weather and Environmental Signal Data Unit
6.3 Geographical Signal Data
6.4 Parameter Analysis Unit
6.5 Farmer Health Analyses and Control Unit
7 Design Flow of the Proposed Agri-Aid for Farmer Health Analyses
8 Implementation and Validation for Farmer Health Analyses in Agri-Aid
8.1 Signal Data Acquisition
8.2 Machine Learning Model for Training and Testing in Agri-Aid System
9 Conclusions and Future Research
9.1 Conclusions
9.2 Future Research
References
A Smart Agriculture Framework to Automatically Track the Spread of Plant Diseases Using Mask Region-Based Convolutional Neural Network
1 Introduction
2 Prior Research Work
2.1 Classification Based Approaches
2.2 Region-of-Interests (ROI) Based Approaches
3 Proposed Method
3.1 Overview: Proposed Agriculture Cyber Physical System
3.2 Methodology for Disease Detection and Localization