It is the field of oceanographic research with the aim of advancing the blue economy. Generally, it can be used as an ocean research resource for economic growth, and IoT technologies to analyze the data collection, monitoring and sensor networks in oceanography. It consists of some different applications for analyzing data, including LIDAR technologies, sensor networking, autonomous underwater vehicles and data mining to enhance the understanding of an ecosystem improve sustainable development in marine industries and to detect the remote operated vehicle technology for fisheries, rock and salinity. It involves interconnected devices and sensors that can be communicated and share the data through the network. It can store a huge amount of data for an oceanography on fisheries, plants and route mapping technology inside the water and also detect the depth of an ocean. It helps some GIS tools to analyze and visualize the data related to oceanography such as temperature, current and marine habitats. The data can be simulated through the use of IoT data into numerical methods in a real-time environment.

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Exploring IoT Applications in Oceanographic Research for Advancing the Blue Economy

  • K. Manoj Kumar

摘要

It is the field of oceanographic research with the aim of advancing the blue economy. Generally, it can be used as an ocean research resource for economic growth, and IoT technologies to analyze the data collection, monitoring and sensor networks in oceanography. It consists of some different applications for analyzing data, including LIDAR technologies, sensor networking, autonomous underwater vehicles and data mining to enhance the understanding of an ecosystem improve sustainable development in marine industries and to detect the remote operated vehicle technology for fisheries, rock and salinity. It involves interconnected devices and sensors that can be communicated and share the data through the network. It can store a huge amount of data for an oceanography on fisheries, plants and route mapping technology inside the water and also detect the depth of an ocean. It helps some GIS tools to analyze and visualize the data related to oceanography such as temperature, current and marine habitats. The data can be simulated through the use of IoT data into numerical methods in a real-time environment.