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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. ARTIFICIAL INTELLIGENCE AND BIG DATA SCIENCE FOR OCEANOGRAPHIC RESEARCH IN BANGLADESH: PREPARING FOR THE FUTURE
    Shafiqul Islam Shafiq
    Journal of Data Acquisition and Processing, 2023, 38 (1): 418-431. 

    Abstract

    Utilizing marine resources wisely is crucial for less developed or emerging nations like Bangladesh, which has the sea in their geographical boundaries. 95% of the world’s ocean resources are still unexplored to us. Although it is a challenging task to integrate this untapped resource into the nation’s economy, we can currently open the door to our blue economy by applying cutting-edge technologies like artificial intelligence, machine learning, and big data science. With the help of these data-driven, cutting-edge technologies, ocean researchers can examine the seasonal variation of physico-chemical parameters such as sea surface temperature (SST), salinity, pH, dissolved oxygen (DO), conductivity, total dissolved solids (TDS), suitability of specific sites for aquaculture, monitor erosion (turbidity), analyze sea level rise, validate sensitive bleaching zones, and prioritize biodiverse areas. Specifically, identifying and managing ocean resources (such as possible fishing zones, seafood, fuel, renewable energy, minerals, etc.) research and modeling closely related to the blue economy.

    Keyword

    artificial intelligence (AI), big data, oceanography, blue economy, SDGs.


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ISSN 1004-9037

         

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