Research on the Development and Application of an Intelligent Aquaculture System

This research addresses the pressing need for sustainable practices in aquaculture, which faces challenges, like environmental degradation. The study aims to evaluate the effectiveness of an intelligent aquaculture system (IAS) in improving key performance indicators in shrimp farming. Methodologically, it focuses on a specific shrimp farm divided into 10 breeding zones, with the number 3 area selected for experimentation. Data on environmental parameters and performance metrics were collected for comparative analysis against traditional practices. Results showed significant improvements: The IAS achieved a feed conversion rate of 90.22% and a growth rate of 50 g/week, outperforming traditional methods. Additionally, it exhibited lower disease incidence and mortality rates, indicating enhanced safety. The study concludes that IASs can substantially improve operational efficiency and sustainability, offering valuable insights for the future of aquaculture practices.

Authors

Institutions

Publication Details

Journal
Information Resources Management Journal
Published
2025-02-12
DOI
https://doi.org/10.4018/irmj.368721
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Development and Application of an Intelligent Aquaculture System

Long-Zhen ZHANG, Huaining Yang, Keming Qu, Jinxing Du et al.
1 citations
Information Resources Management Journal
Water Quality Monitoring Technologies
0.82
article

Research on the Development and Application of an Intelligent Aquaculture System

Long-Zhen ZHANG, Huaining Yang, Keming Qu, Jinxing Du, Yongquan Nie
article en
1 citations

Abstract

This research addresses the pressing need for sustainable practices in aquaculture, which faces challenges, like environmental degradation. The study aims to evaluate the effectiveness of an intelligent aquaculture system (IAS) in improving key performance indicators in shrimp farming. Methodologically, it focuses on a specific shrimp farm divided into 10 breeding zones, with the number 3 area selected for experimentation. Data on environmental parameters and performance metrics were collected for comparative analysis against traditional practices. Results showed significant improvements: The IAS achieved a feed conversion rate of 90.22% and a growth rate of 50 g/week, outperforming traditional methods. Additionally, it exhibited lower disease incidence and mortality rates, indicating enhanced safety. The study concludes that IASs can substantially improve operational efficiency and sustainability, offering valuable insights for the future of aquaculture practices.

Information Resources Management JournalVol. 38(1)
Chinese Academy of Fishery Sciences (CN)
Responsible consumption and production
Openalex Percentile: Top 29%
Water Quality Monitoring Technologies
0.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on the Development and Application of an Intelligent Aquaculture System — Long-Zhen ZHANG, Huaining Yang, et al. · Information Resources Management Journal (2025) | TGRS Research Map | TGRS