Clinostomid infections in Nile tilapia: a multidisciplinary approach

Tilapia specimens infested by clinostomids. Source: Mahdy et al., (2024); BMC Vet Res 20, 449 (2024).

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Swimming behavior of Atlantic salmon in commercial cages: a data-driven approach

Acoustic telemetry has emerged as a valuable tool for studying fish behavior, both in the wild and in aquaculture environments. By equipping fish with electronic ...

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The Aggressive Nature of Fish: A Challenge for Aquaculture and Conservation

Made with CANVA AI

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Decoding the Mystery of Ammonia-Like Off-Flavors in Shrimp

Graphical summary of the study. Source: Bai et al., (2024). Food Chemistry, 141445.

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Firemouth Cichlid Thorichthys meeki: A Complete Care Guide

Firemouth cichlid (Thorichthys meeki) Brind, 1918, Wilhelma, Stuttgart, Germany. Courtesy: H. Zell

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Deciphering the Threats of Plankton to the Salmon Industry: A Molecular and Morphological Approach

Approach, outputs, and applicability of the methodological framework of our study. Plankton symbol attribution: ian.Umces.edu/media-library. Source: Algueró-Muñiz et al., (2024); Environmental DNA, 6(5), e70005.

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A QFD-based solution for smart shrimp farming

Smart aquaculture application for shrimp farming. Source: Setiawan and Surantha (2024), CommIT Journal 18(2), 229–250.

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Smart Aquaponics: Employing Machine Learning to Improve Fish Nutrition and Growth

Proposed framework for prediction of fish length (cm) and weight (g) using optimized machine learning models with explainable artificial intelligence. Source: Khandakar et al., (2024); Computers and Electrical Engineering, 119, 109590.

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Unraveling the Microbiome of Biofloc Technology in Shrimp Aquaculture

Genome-centric recovery of MAGs from the FAB community. Source: Rajeev et al., (2024); mSystems0:e00782-24

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Revolution in Shrimp Farming: Dataset Aims to Optimize Biomass Estimation with AI

Example images of the different sub-datasets. Source: Ramírez-Coronel et al., (2024); Data in Brief, 57, 110964.

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