Title: Artificial intelligence in marine biotechnology
Abstract:
Biological systems are more complicated than any man-made structure, even in the technologically advanced world of today. Therefore, the primary goal of AI is to address a variety of biological issues, ranging from biology to physiological issues, molecular genetics, gene technology, marine pharmacology, marine toxicology, fisheries technology, and marine pollution through exchanging data and databases over AI networks. Due to the availability of several high-tech databases, current research on AI technology in marine biology from the systematic classification of species to genomics and proteomics is presently evolving. Current study to investigate the many applications of AI technology in marine biotechnology and problem-solving techniques. Ocean of Words Currently, efforts are being made to use artificial intelligence technology to study pertaining to marine biology. Another unexplored method that might be developed to investigate the detection and finding of secondary metabolites of current marine organisms is drug discovery. This paper summarizes the existing applications of artificial intelligence (AI) in the field of marine science. Artificial Intelligent technology can be used to fill in knowledge gaps about the marine resources and utilization limit. In order to address the effects of climate change on India's marine economy, this study explores the use of artificial intelligence (AI) in monitoring and regulating marine ecosystems. It seeks to evaluate the risks that climate change poses to these ecosystems and investigate how artificial intelligence (AI) might improve resilience and adaptation. With an emphasis on the unique context of Kenya's Blue Economy, the paper examines the body of research on AI applications in marine ecosystem management and climate change mitigation. According to the report, sea-level rise, ocean acidification, coral bleaching, and disturbances to ocean currents are only a few of the serious risks that climate change presents to global marine ecosystems. With applications in decision assistance, resource optimization, and predictive modelling, artificial intelligence (AI) technologies present intriguing means of tracking and controlling these effects.
