vioft2nntf2t|tblJournal|Abstract_paper|0xf4ffa1c8320000006c40130001000400 The decline of marine ecosystems poses a substantial threat to the viability of local economies that are reliant on marine life for their continued survival. Artificial intelligence (AI) and machine learning (ML) are two of the several developing technologies that have the ability to address environmental challenges. In particular, ML may be used to better analyse the oceans, keep track of shipping, maintain track of debris in the ocean, unregulated and unreported (IUU) fishing, ocean mining, reduce coral bleaching, and stop the spread of marine diseases. In this paper, we examine the rising prospects and concerns related with the application of AI in the maritime environment, as well as their potential scalability for larger results, using some use-cases to illustrate our points. The results that were obtained when the model prediction was applied to random images are evidence that the model that was suggested provides better outcomes with fewer data points.
J. Senthil Murugan1, S. Surendran2, M.A. Mukunthan3, S. Chandragandhi4
Veltech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, India1, Tagore Engineering College, Chennai, India2, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India3, Karpagam Institute of Technology, India4
SAR, Ocean, Pollution, Deep Intelligence, Detection
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 13 , Issue: 4 , Pages: 2953 - 2958 )
Date of Publication :
May 2023
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625
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