Project poster: Marine Observation System

Marine Observation System Transforming the management of marine resources, proposing a model of responsible innovation, balancing technological progress, environmental sustainability and knowledge sharing. The “Marine Observation System” project aims to revolutionize the fishing sector through digital innovation for the collection of fishing data and support for the identification of biological and physical characteristics through image processing with Artificial Intelligence techniques. The main objective is to develop an innovative system for marine resources observation, combining digital logbook, machine learning-based visual recognition and cloud computing. MarObsSys aims to overcome current challenges in the sector, such as the inaccuracy of traditional monitoring methods and the lack of data integration. The proposed system allows non-invasive and precise monitoring of fishery resources, significantly improving sustainable fisheries management. The project includes field validation phases, directly involving operators in the sector. An online platform will facilitate data sharing and stimulate further innovation. The approach adopted aims to transform the management of marine resources, proposing itself as a model of responsible innovation, balancing technological progress, environmental sustainability and knowledge sharing.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-03
DOI
https://doi.org/10.5281/zenodo.14838237
Primary Topic
Virus-based gene therapy research
Type
article
Field-Weighted Citation Impact
0.00
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article

Project poster: Marine Observation System

Zenodo (CERN European Organization for Nuclear Research)
Virus-based gene therapy research
article

Project poster: Marine Observation System

article en

Abstract

Marine Observation System Transforming the management of marine resources, proposing a model of responsible innovation, balancing technological progress, environmental sustainability and knowledge sharing. The “Marine Observation System” project aims to revolutionize the fishing sector through digital innovation for the collection of fishing data and support for the identification of biological and physical characteristics through image processing with Artificial Intelligence techniques. The main objective is to develop an innovative system for marine resources observation, combining digital logbook, machine learning-based visual recognition and cloud computing. MarObsSys aims to overcome current challenges in the sector, such as the inaccuracy of traditional monitoring methods and the lack of data integration. The proposed system allows non-invasive and precise monitoring of fishery resources, significantly improving sustainable fisheries management. The project includes field validation phases, directly involving operators in the sector. An online platform will facilitate data sharing and stimulate further innovation. The approach adopted aims to transform the management of marine resources, proposing itself as a model of responsible innovation, balancing technological progress, environmental sustainability and knowledge sharing.

Zenodo (CERN European Organization for Nuclear Research)
Infotech Soft (United States) (US)
Openalex Percentile: Top 51%
Virus-based gene therapy research
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