4.2 Machine Learning workflow.Figure 4.3 Machine Learning relation with others.Figure 4.4 Applications of Green Internet of Things.
5 Chapter 5Figure 5.1 Arduino board.Figure 5.2 Humidity sensor.Figure 5.3 Relay.Figure 5.4 DC 12-V water motor.Figure 5.5 System architecture of CIoT. https://techatronic.com/smart-agricultur...
6 Chapter 6Figure 6.1 Typical crop cycle.Figure 6.2 Graph showing the growth in purchase of IoT devices [15].Figure 6.3 Graph showing the growth in data generation by IoT in agriculture [15...Figure 6.4 Connection of our prototype.
7 Chapter 7Figure 7.1 Applications of Green IoT.Figure 7.2 Sensor-cloud architecture for Green IoT [6].Figure 7.3 Important factors supporting GAHA architecture.Figure 7.4 Complementary pathways for implementing Green Computing in computers ...Figure 7.5 Components of GAHA.Figure 7.6 Machine learning as a subset of artificial intelligence [17].Figure 7.7 Edge detection of a rice blast disease using the Robert cross method ...
8 Chapter 8Figure 8.1 IoT-based precision farming cycle.Figure 8.2 Cloud of Things.Figure 8.3 Irrigation system using CloudIoT.Figure 8.4 IoT protocols.Figure 8.5 LEACH network topology.Figure 8.6 Synthetic Minority Oversampling Technique (SMOTE).Figure 8.7 Block diagram of IoT-based drone for enhancement of crop quality in a...Figure 8.8 Support vector machine.Figure 8.9 Raspberry Pi 3 board and the Intel Movidius Neural Compute Stick.Figure 8.10 DNN.Figure 8.11 MDFC-ResNet.Figure 8.12 RNN, LSTM, and GRU structure.Figure 8.13 Progressive neural network.Figure 8.14 Single-task and multi-task policy distillation.Figure 8.15 Different memory-based deep Q-network.
9 Chapter 9Figure 9.1 Basic Green IoT for both agriculture and health network.Figure 9.2 (a) GIoT-AHAS network platform with gateway.Figure 9.2 (b) GIoT AHAS network platform with security management system.Figure 9.3 Green IoT agriculture and healthcare applications (GIoT-AHAS).Figure 9.4 Building blocks of GIoT to AHAS connected to IoT-based system.Figure 9.5 Agriculture and farm remote monitoring and low-power green WSN topolo...Figure 9.6 Remote monitoring in healthcare system and low-power green WSN topolo...
10 Chapter 10Figure 10.1 Green cycle.Figure 10.2 Green IoT applications.Figure 10.3 Smart traffic signal system.Figure 10.4 Overall architecture of cloud-based parking system.Figure 10.5 Overall block diagram.Figure 10.6 Architecture of airport management system.Figure 10.7 Architecture of intelligent vehicle monitoring system.Figure 10.8 Overall architecture of the SVMS system.Figure 10.9 Internal architecture of IoT system.
11 Chapter 11Figure 11.1 Some potential application domains of Internet of Things.Figure 11.2 Artificial Intelligence in banking.Figure 11.3 Internet of things in banking.
12 Chapter 12Figure 12.1 Green Internet of Things (G-IoT) for sustainable development.Figure 12.2 Internet of Things (IoT) [34].Figure 12.3 Elements of IoT.Figure 12.4 Key component of Green IoT.Figure 12.5 Key technologies for Green IoT [37].Figure 12.6 Green industrial IoT architecture: an energy-efficient perspective [...Figure 12.7 Green IoT architecture for smart city.Figure 12.8 IoT sensors [35].
List of Tables
1 Chapter 1Table 1.1 Difference between AI and machine learning.Table 1.2 Time line of investigation in RFID.
2 Chapter 2Table 2.1 Evaluation chart of different wireless technologies [62, 93–98].Table 2.2 Claims of IoT in the energy region (1): rule, marketplace, and energy ...Table 2.3 Uses of IoT in the energy area (2): energy grids and request side.Table 2.4 Challenges and current solutions of using IoT in the energy sector.
3 Chapter 3Table 3.1 Contribution of machine learning or deep learning in Green IoT.
4 Chapter 6Table 6.1 Reviewing multiple authors previous research work.Table 6.2 Different crops utilizes different amount of nitrogen.
5 Chapter 8Table 8.1 Review on IoT in agriculture.Table 8.2 Review on ML with IoT in agriculture.Table 8.3 Review on DL with IoT in agriculture.
6 Chapter 9Table 9.1 Impact of requirement in GIoT-AHAS.Table 9.2 Typical class of components used for energy-efficient techniques towar...
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