Building a Collaborative Aquaculture Research Ecosystem with APIs and AI
Recently, the mission of the aquaculture production sector in achieving sustainable development goals has become increasingly critical. Synthesizing large data sets with advanced technological tools in aquaculture is no longer a luxury but a necessity for significant progress. This article examines...
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| Format: | Article |
| Language: | English |
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Istanbul University Press
2025-01-01
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| Series: | Aquatic Sciences and Engineering |
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| Online Access: | https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/EF272F138C6949009853A5DFD196F94F |
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| author | Soner Sevin Suat Dikel |
| author_facet | Soner Sevin Suat Dikel |
| author_sort | Soner Sevin |
| collection | DOAJ |
| description | Recently, the mission of the aquaculture production sector in achieving sustainable development goals has become increasingly critical. Synthesizing large data sets with advanced technological tools in aquaculture is no longer a luxury but a necessity for significant progress. This article examines the pivotal role of Application Programming Interface (API) integration in advancing open science and collaborative research in aquaculture. It also explores the use of Artificial Intelligence (AI) to facilitate data analysis across disparate databases and proposes the establishment of a ChatGPT-like virtual environment to catalyze seamless global collaboration among researchers. A comprehensive overview is presented on the feasibility of a unified AI-driven database that collects, analyzes, and shares data, overcomes geographical constraints, and supports a shared information ecosystem. The article scrutinizes current implementations, identifies gaps in existing infrastructures, and outlines a robust framework for API integration that could significantly enhance innovation and operational efficiency in aquaculture research. |
| format | Article |
| id | doaj-art-baf9abc17ce64b6a93b38794e42d30a2 |
| institution | OA Journals |
| issn | 2602-473X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Istanbul University Press |
| record_format | Article |
| series | Aquatic Sciences and Engineering |
| spelling | doaj-art-baf9abc17ce64b6a93b38794e42d30a22025-08-20T02:16:21ZengIstanbul University PressAquatic Sciences and Engineering2602-473X2025-01-01401425210.26650/ASE20241564766123456Building a Collaborative Aquaculture Research Ecosystem with APIs and AISoner Sevinhttps://orcid.org/0009-0002-2277-6339Suat Dikel0https://orcid.org/0000-0002-5728-7052Çukurova Üniversitesi, Adana, TurkiyeRecently, the mission of the aquaculture production sector in achieving sustainable development goals has become increasingly critical. Synthesizing large data sets with advanced technological tools in aquaculture is no longer a luxury but a necessity for significant progress. This article examines the pivotal role of Application Programming Interface (API) integration in advancing open science and collaborative research in aquaculture. It also explores the use of Artificial Intelligence (AI) to facilitate data analysis across disparate databases and proposes the establishment of a ChatGPT-like virtual environment to catalyze seamless global collaboration among researchers. A comprehensive overview is presented on the feasibility of a unified AI-driven database that collects, analyzes, and shares data, overcomes geographical constraints, and supports a shared information ecosystem. The article scrutinizes current implementations, identifies gaps in existing infrastructures, and outlines a robust framework for API integration that could significantly enhance innovation and operational efficiency in aquaculture research.https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/EF272F138C6949009853A5DFD196F94Fartificial intelligenceaquacultureapplication programing interfaceinternet of things |
| spellingShingle | Soner Sevin Suat Dikel Building a Collaborative Aquaculture Research Ecosystem with APIs and AI Aquatic Sciences and Engineering artificial intelligence aquaculture application programing interface internet of things |
| title | Building a Collaborative Aquaculture Research Ecosystem with APIs and AI |
| title_full | Building a Collaborative Aquaculture Research Ecosystem with APIs and AI |
| title_fullStr | Building a Collaborative Aquaculture Research Ecosystem with APIs and AI |
| title_full_unstemmed | Building a Collaborative Aquaculture Research Ecosystem with APIs and AI |
| title_short | Building a Collaborative Aquaculture Research Ecosystem with APIs and AI |
| title_sort | building a collaborative aquaculture research ecosystem with apis and ai |
| topic | artificial intelligence aquaculture application programing interface internet of things |
| url | https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/EF272F138C6949009853A5DFD196F94F |
| work_keys_str_mv | AT sonersevin buildingacollaborativeaquacultureresearchecosystemwithapisandai AT suatdikel buildingacollaborativeaquacultureresearchecosystemwithapisandai |