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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Application of artificial intelligence in aquaculture – Recent developments and prospects

The record

Type
Publication
Date
15 October 2025
Level
International — held abroad
Journal
Aquacultural Engineering
Volume
111
Published
15 October 2025
DOI
10.1016/j.aquaeng.2025.102570
Scopus ID
105006673345
ISSN
01448609
Authors
7
Open access
No
Citations
15
International co-authorship
Yes
Co-author countries
IN, KR

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 14 Conserve and sustainably use the oceans, seas and marine resources for sustainable development

    GoalPrimaryHigh confidenceJudged

    Systematic review of artificial intelligence and deep learning applications for optimizing operational efficiency and environmental monitoring in sustainable aquaculture.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  2. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryHigh confidenceJudged

    Novel machine learning and deep learning algorithms applied to aquaculture systems development.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  3. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Integration of AI, machine learning and deep learning technologies to transform aquaculture practices.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Each label above carries the instrument and the version that produced it. How each classification is reached.

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KIIT Deemed to be University. “Application of artificial intelligence in aquaculture – Recent developments and prospects”. Kortex.

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