A novel model for predicting the impact of aquaculture feed additives on marine sediments

I+R+D

PyGETM proposed workflow for modelling the dispersion of fish waste and feed additives at the farm scale. Source: Bedington et al. (2026). EFSA Supporting Publication 2026:EN-9914.

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Aquaculture in the Face of Antimicrobial Resistance: A Global Challenge Under the ‘One Health’ Approach

I+R+D

Aquaculture already accounts for over 57% of aquatic animal products for human consumption. Nevertheless, this success comes at a price: rapid intensification has increased stocking ...

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Deep Learning and Computer Vision: The Future of Smart Aquaculture

I+R+D

Fish behavior recognition based on image, audio, and time-series data. Source: He et al. (2026); Computer Science Review, 60, 100896.

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Is the commercial cultivation of shrimp within super-intensive systems economically viable?

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Recirculating Aquaculture Systems (RAS) for super-intensive shrimp cultivation. Image generated by nanobanana.

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WAS-AC Announces New Board of Directors for 2026-2027 Term

News

CAPE TOWN, SOUTH AFRICA – The African Chapter of the World Aquaculture Society (WAS-AC) is pleased to welcome Dr. Khalid Salie as its new President, ...

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Zander (Sander lucioperca): The Definitive Guide to Biology, Aquaculture, and the Culinary Market

Report

Pikeperch or Zander (Sander lucioperca) at the Rousse Ecomuseum. Courtesy of Tiia Monto, Wikimedia Commons.

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Why does the EU import 80% of its seafood? The self-sufficiency crisis

Market

What is the impact of seafood and shellfish imports on the European Union?

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Monoterpenes: The Natural Revolution Challenging Conventional Antibiotics

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Key effects of essential oils and monoterpenes in aquaculture. Source: Batista et al. (2026); Reviews in Aquaculture, 18(1), e70124.

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Tilapia stocking density alters the nutritional profile of Chlorella microalgae within aquaponic systems

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Schematic diagram of the aquaponic system utilized in the study. Source: Doctolero et al. (2026); Aquaculture, 612, 743277.

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Artificial Intelligence and Computer Vision: The Future of Genetics in Aquaculture

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Integrating Artificial Intelligence for Selective Breeding in Aquaculture. Source: Xue (2026).

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