Systematic Reviews and Meta Analysis
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Reduction of Losses and Wastage in Seafoods: The Role of Smart Tools and Biosensors Based on Artificial Intelligence

Year 2024, Volume: 8 Issue: 1, 14 - 44, 31.12.2024
https://doi.org/10.61969/jai.1394542

Abstract

This paper reviews current knowledge on the role of smart tools and biosensors based on artificial intelligence in reducing seafood loss and wastage. This study shows that a variety of biosensors, categorised according to how they function, can be used to measure the quality of seafood. These include optical biosensors, enzyme-based biosensors, immunosensors, microbial biosensors, DNA-based biosensors, electrochemical biosensors, optical biosensors, tissue-based biosensors, and piezoelectric biosensors. Among these biosensors, optical biosensors, electrochemical biosensors, and mechanical biosensors are the most significant. Again, this study report that, for seafood traceability and management, a variety of smart solutions including blockchain technology, quick response (QR) codes, data analytics, digital twins, and radio frequency identification (RFID) tags can be utilised. Catch data, vessel tracking data, and data from the processing plant are some of the different data sources that can be utilised to trace seafood products. Artificial intelligence tools like neural networks, deep learning, machine learning, and others can be used to forecast and improve seafood quality. It is crucial to study the development of biosensors that can properly identify the earliest signs of seafood contamination or rotting.

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Reduction of Losses and Wastage in Seafoods: The Role of Smart Tools and Biosensors Based on Artificial Intelligence

Year 2024, Volume: 8 Issue: 1, 14 - 44, 31.12.2024
https://doi.org/10.61969/jai.1394542

Abstract

This paper reviews current knowledge on the role of smart tools and biosensors based on artificial intelligence in reducing seafood loss and wastage. This study shows that a variety of biosensors, categorised according to how they function, can be used to measure the quality of seafood. These include optical biosensors, enzyme-based biosensors, immunosensors, microbial biosensors, DNA-based biosensors, electrochemical biosensors, optical biosensors, tissue-based biosensors, and piezoelectric biosensors. Among these biosensors, optical biosensors, electrochemical biosensors, and mechanical biosensors are the most significant. Again, this study report that, for seafood traceability and management, a variety of smart solutions including blockchain technology, quick response (QR) codes, data analytics, digital twins, and radio frequency identification (RFID) tags can be utilised. Catch data, vessel tracking data, and data from the processing plant are some of the different data sources that can be utilised to trace seafood products. Artificial intelligence tools like neural networks, deep learning, machine learning, and others can be used to forecast and improve seafood quality. It is crucial to study the development of biosensors that can properly identify the earliest signs of seafood contamination or rotting.

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There are 175 citations in total.

Details

Primary Language English
Subjects Speech Recognition, Artificial Intelligence (Other)
Journal Section Review Articles
Authors

Chrıstıan Ayısı Larbı 0000-0002-0779-5067

Samuel Ayeh Osei 0000-0003-1753-8088

Early Pub Date March 20, 2024
Publication Date December 31, 2024
Submission Date November 22, 2023
Acceptance Date February 19, 2024
Published in Issue Year 2024 Volume: 8 Issue: 1

Cite

APA Ayısı Larbı, C., & Osei, S. A. (2024). Reduction of Losses and Wastage in Seafoods: The Role of Smart Tools and Biosensors Based on Artificial Intelligence. Journal of AI, 8(1), 14-44. https://doi.org/10.61969/jai.1394542

Journal of AI
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Index Copernicus, ROAD, Google Scholar, IAD

Publisher
Izmir Academy Association
www.izmirakademi.org

Although the scope of our journal is related to artificial intelligence studies, the abbreviation "AI" in the name of the journal is derived from "Academy Izmir".