<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.8//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Felix Academic Publications</PublisherName>
      <JournalTitle>International Journal of Innovative Trends in Engineering Science and Technology</JournalTitle>
      <Issn>3139-6887</Issn>
      <Volume>1</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>08</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Green Aquaculture Practices: Promoting Sustainable Aquaculture Techniques to Enhance Productivity While Preserving Marine Ecosystems</ArticleTitle>
    <FirstPage>1</FirstPage>
    <LastPage>3</LastPage>
    <Language>eng</Language>
    <AuthorList>
      <Author>
        <FirstName>Dr. S. NagaMallik</FirstName>
        <LastName>Raj</LastName>
        <AffiliationInfo>
          <Affiliation>Department of CSE, Vignan’s Institute of Information Technology (A), Visakhapatnam</Affiliation>
        </AffiliationInfo>
      </Author>
      <Author>
        <FirstName>Nadiminti</FirstName>
        <LastName>Raghavendra</LastName>
        <AffiliationInfo>
          <Affiliation>Department of CSE, Vignan’s Institute of Information Technology (A), Visakhapatnam</Affiliation>
        </AffiliationInfo>
      </Author>
      <Author>
        <FirstName>Malla Mohith</FirstName>
        <LastName>Sai</LastName>
        <AffiliationInfo>
          <Affiliation>Department of CSE, Vignan’s Institute of Information Technology (A), Visakhapatnam</Affiliation>
        </AffiliationInfo>
      </Author>
    </AuthorList>
    <ArticleIdList>
      <ArticleId IdType="pii">IJITEST-2026-011</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2026</Year>
        <Month>05</Month>
        <Day>02</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2026</Year>
        <Month>08</Month>
        <Day>01</Day>
      </PubDate>
    </History>
    <Abstract>This article presents a research proposal for an IoT enabled, AI-driven Green Aquaculture framework integrating Recirculating Aquaculture Systems (RAS), Integrated Multi Trophic Aquaculture (IMTA), and edge intelligence. Conventional aquaculture faces pressure from environmental damage and global protein demand. The proposed system utilizes deep learning models, specifically YOLO architectures, for real-time fish behavior monitoring, biomass estimation, and precise feeding control. Central to this framework is the “Self Healing Ecosystem” concept, where machine learning optimizes the balance between fed and extractive species to achieve zero waste discharge. This work aligns with India’s Pradhan Mantri Matsya Sampada Yojana (PMMSY) to move toward a sustainable, high-tech aquaculture model.</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">IoT Sensors</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Recirculating Aquaculture Systems (RAS)</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Integrated Multi-Trophic Aquaculture (IMTA)</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Precision Feeding</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Water Quality Prediction</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Sustainable Fisheries</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Edge Intelligence</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Machine Learning</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>