Unmanned Aerial Vehicles for Internet of Things (IoT)

14 Chapter 14Figure 14.1 Rice monitoring with the help of satellite.Figure 14.2 MAPscape-Rice Rice processing of SAR raw data [36].Figure 14.3 Processed SAR data over Tamil Naidu, India in Cauvery Delta region f...Figure 14.4 Rice area for Mekong Delta, Viet Nam for Winter Spring season 2015–2...Figure 14.5 Yield map for Mekong Delta, Viet Nam for winter spring season 2015-2...Figure 14.6 Start of season map for Mekong Delta, Viet Nam for winter spring sea...Figure 14.7 An example of an NDVI map depicting crop health.Figure 14.8 SAP Leonardo—a digital modernization platform.Figure 14.9 Linked interface for agriculture [39].Figure 14.10 TCS Quad-rotor drone.Figure 14.11 Crop cutting experiment (CCE) sites.Figure 14.12 Android app being used for Crop Cutting Experiment data collection ...Figure 14.13 Information from Crop Cutting Experiments submitted to ISRO’s Bhuva...Figure 14.14 Data acquired with UAV.Figure 14.15 UAV-WSN system.

1 Chapter 1Table 1.1 UA categories on the basis of spectrum perspective.Table 1.2 Frequency bands.

2 Chapter 2Table 2.1 Parameters determining the performance of A2G channel.Table 2.2 State-of-the-art solutions for optimizing the UAV trajectory.

3 Chapter 3Table 3.1 Example of UAV-based networking models.Table 3.2 Solutions projected by researchers for proficient battery and energy m...

4 Chapter 4Table 4.1 Analysis of existing communication protocols.

5 Chapter 6Table 6.1 Use cases of UAV-based IoT.Table 6.2 UAV-aided IoT applications.

6 Chapter 12Table 12.1 Comparison of technologies for transmission of IoT data.Table 12.2 Data collected by surround sense module in tabular form.

7 Chapter 13Table 13.1 Brain waves and its frequency ranges.

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