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Collaborative project: Development of a mobile and a portable underwater fish observatory (UFO) and construction of a UFO-network for monitoring fish stocks through coupling with a stationary UFO. Subproject 2 (UFOTriNet)

Project


Project code: 2819111618
Contract period: 01.05.2019 - 30.06.2022
Budget: 514,166 Euro
Purpose of research: Applied research
Keywords: knowledge transfer, networking, other aquatic organisms, sustainability, marine organisms, resource protection, resource efficiency, fishery, data collection, fish, aquaculture

The aim of the present project is to develop a trilateral test network consisting of a mobile and a portable underwater fish observatory (UFO), to link both with an existing pre-prototype UFO, to standardize the automatic pattern recognition for all three components and to optimize them so that species, size and weight classification can be achieved with a high statistical certainty (at least 95%). It is a highly interdisciplinary, complex topic that must include biological, physical-oceanographic, geographic as well as technical, logistical, political and legal conditions. The resulting data (acoustics, stereo optics, environmental sensors) should be fed into an integrated, newly to be built data and information system with online access. In this way, an automated, cost-effective and non-invasive alternative to ship-based monitoring of fish stocks will be developed and tested in Kiel Bight as a contribution to a reformed, evidence-based fisheries policy. Similar to the existing stationary UFO system, the mobile and the portable underwater fish observatories will also combine modern acoustic and optical methods for monitoring fish stocks being provided as a coupled hybrid system (coupling of near field (optics) and far field (acoustics)). The coupled system tests in Kiel Bight ensure low logistics costs, as they are performed close to the coast. Additional research vessel sampling campaigns will provide comparative information for data calibration, data blending, and data conversion, while at the same time providing an important contribution for an improved understanding of the processes helping to optimize hardware design and pattern recognition algorithms for the trilateral UFO network.

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