ReviewAquaculture international : journal of the European Aquaculture Society2021
Intelligent fish farm-the future of aquaculture.
Review in Aquaculture international : journal of the European Aquaculture Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 201 citations in OpenAlex.
- From traditional histopathology to virtual staining: deep learning approaches for assessing tissue lesions in farmed fish.Veterinary research communications · 2026Review
- Nutritional detoxification strategies in aquaculture: bioactive feed additives mitigating oxidative stress and xenobiotic toxicity in fish.Fish physiology and biochemistry · 2026Review
- OMPB: An Omnidirectional-Mobile Paddle Boat Designed for Narrow Water Areas.Sensors (Basel, Switzerland) · 2026Article
- Design and Implementation of a Cost-Effective IoT-Based Monitoring and Alerting System for Recirculating Aquaculture Systems (RAS).Sensors (Basel, Switzerland) · 2025Article
- FDMNet: A Multi-Task Network for Joint Detection and Segmentation of Three Fish Diseases.Journal of imaging · 2025Article
- Non-Invasive Fish Biometrics for Enhancing Precision and Understanding of Aquaculture Farming through Statistical Morphology Analysis and Machine Learning.Animals : an open access journal from MDPI · 2024Article
- Automatic Shrimp Fry Counting Method Using Multi-Scale Attention Fusion.Sensors (Basel, Switzerland) · 2024Article
- Recent Advances in Bioimage Analysis Methods for Detecting Skeletal Deformities in Biomedical and Aquaculture Fish Species.Biomolecules · 2023Review
- Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation.PeerJ. Computer science · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the continuous expansion of aquaculture scale and density, contemporary aquaculture methods have been forced to overproduce resulting in the accelerated imbalance rate of water environment, the frequent occurrence of fish diseases, and the decline of aquatic product quality. Moreover, due to the fact that the average age profile of agricultural workers in many parts of the world are on the higher side, fishery production will face the dilemma of shortage of labor, and aquaculture methods are in urgent need of change. Modern information technology has gradually penetrated into various fields of agriculture, and the concept of intelligent fish farm has also begun to take shape. The intelligent fish farm tries to deal with the precise work of increasing oxygen, optimizing feeding, reducing disease incidences, and accurately harvesting through the idea of "replacing human with machine," so as to liberate the manpower completely and realize the green and sustainable aquaculture. This paper reviews the application of fishery intelligent equipment, IoT, edge computing, 5G, and artificial intelligence algorithms in modern aquaculture, and analyzes the existing problems and future development prospects. Meanwhile, based on different business requirements, the design frameworks for key functional modules in the construction of intelligent fish farm are proposed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.