An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model

• Published in: Automatika Vol. 65; no. 3; pp. 1025 - 1034
• Main Authors: Vidhyalakshmi, M., Manjula, V., Mickle Aancy, H., Beulah Viji Christiana, M., Jogendra Kumar, M., Nirmala, P., Almoallim, Hesham S., Ali Alharbi, Sulaiman, Raghavan, S.S.
• Format: Journal Article
• Language: English
• Published: Ljubljana Taylor & Francis Ltd 02.07.2024; Taylor & Francis Group
• Subjects: Artificial intelligence; Biodiversity; Deep sea; Energy consumption; environmental pollution; Fuel consumption; high fuel cost; Monitoring; sea monitoring equipments; Vehicles; Water waves
• ISSN: 0005-1144; 1848-3380
• DOI: 10.1080/00051144.2024.2321812

The current sea monitoring equipments are being used for a variety of purposes around the world. Currently used vehicles have some drawbacks. The first is the high fuel cost. The Vehicle engines cost more fuel as they have to release more power and environment and pollution. As well as not being able to stay under the sea for long days, there will often be a need for vehicles to come to the surface to refuel. The second is the vibrations and noise of these vehicles. The vibrations caused by these can be detrimental to the biodiversity of the ocean. Also, the noise makes it easier for enemies to identify our vehicles. Similarly when these vehicles go under water, water waves form on the surface. With this in mind, radar can detect what a vehicle under the sea looks like. In this paper, an artificial intelligence based microbiological model was proposed to monitor the sea level. With this biological model can greatly reduce fuels. It can get more capacity than normal vehicles. As fuel consumption decreases, so it does environmental pollution and since it operates quietly and without high vibrations, there is no threat to the biodiversity of the ocean.