# Dutch Lobster Fishermen Deploy AI Cameras for Stock Assessment Starting 2025

> A collaboration between fishermen and researchers in the Netherlands will integrate AI-equipped cameras to monitor European lobster populations in the Eastern Scheldt.

By PrimaryBrief newsroom · Published 2026-10-17T21:56:27.043933Z
Canonical: https://primarybrief.com/article/dutch-lobster-fishermen-deploy-ai-cameras-for-stock-assessment-starting-2025-ff42314c

Lobster fishermen and marine researchers in the Netherlands will begin deploying specialized CatchCams equipped with artificial intelligence on January 1, 2025, as part of an effort to improve stock assessment for European lobsters in the Eastern Scheldt [2][11]. This initiative aims to address concerns about declining lobster populations and enhance the sustainability of local fisheries through advanced technological integration [11].

The adoption of AI and vision technology marks a shift for the fishing industry, traditionally not considered high-tech, towards more precise and data-driven management of marine resources. The data collected is intended to provide critical insights into lobster biology and mortality, supporting sustainable fishing practices [2][11].

## What the records show

The LobStAR project is a collaboration between the Association of Professional Fishers Oosterschelde, Westschelde and Voordelta (OWV) and Wageningen Marine Research [11]. Its primary goal is to enhance the stock assessment of European lobsters (*Homarus gammarus*) in the Netherlands' Eastern Scheldt [11]. The project is financially supported by the European Maritime and Fisheries Funds (EMFF) [11].

Key objectives of LobStAR include improving the understanding of the Eastern Scheldt lobster's biology, designing a simple system for automatic catch registration, developing simplified methods for stock estimation, and creating a data management application for the fishing sector [11]. Vision technology and artificial intelligence are central to achieving these aims [2][11].

Starting January 1, 2025, specific CatchCams, described as simple to use and portable, will be utilized in a separate public-private partnership (PPP) project [2]. This related project will focus on studying mussel and lobster mortality, receiving funding from LVVN's Top consortium for Knowledge and Innovation (TKI) Agri & Food [2]. The intent is for the data from these CatchCams to contribute to the broader goal of improved lobster stock assessment [2][11].

## The timeline

Discussions and development for the LobStAR project have been ongoing, with the European Maritime and Fisheries Funds supporting the initiative to improve stock assessments [11]. The specific deployment of CatchCams for studying mussel and lobster mortality is scheduled to begin on January 1, 2025 [2].

## What changed and for whom

This integration of AI and vision technology offers the potential to provide more accurate and consistent data on lobster populations, moving beyond traditional assessment methods [2][11]. For local fishermen in the Eastern Scheldt, the project aims to provide clearer information on lobster stock development, which is essential for making informed decisions about sustainable management [11]. The simple design of the CatchCams means they can be easily applied and powered on fishing vessels [2]. This technological shift allows for automated catch registration, which could streamline data collection for both researchers and fishers [11].

## What the subject has said publicly

Sinke Sinke, who chairs the Association of Professional Fishers Oosterschelde, Westschelde and Voordelta (OWV), has publicly stated the importance of understanding lobster populations. Sinke noted, "The lobster stock goes up and down due to natural factors. But how the lobster stock develops over time is not clear, while that information is important for sustainable management" [11]. This statement highlights the driving need for the LobStAR project's efforts in stock assessment [11].

## What we could not confirm

PrimaryBrief could not confirm the exact number of CatchCams planned for deployment in the Eastern Scheldt. The specific details regarding the artificial intelligence algorithms used for lobster recognition and data analysis were not available in the provided records. It also remains unconfirmed whether initial results or preliminary data from the CatchCam deployments, set to begin in 2025, have been analyzed or published yet.

## Evidence cited
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