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Supporting sustainable fisheries management practices and the recovery of fish stocks through EMODnet

Heraspace is a multi-award winning British startup which has showcased a unique tracking fish distribution system, with the aim of empowering fishermen to locate the most profitable and sustainable fishing grounds, so as to optimise their operative budgets.

HeraSpace uses oceanographic data such as Copernicus satellite and Copernicus Marine Service global ocean model, crowd-sourcing, EMODnet Human Activities’ data, and a top-notch machine-learning neural network. HeraSpace supports sustainable fisheries management practices and the recovery of fish stocks. Transparency throughout the whole process is guaranteed by the use of the blockchain technology, the same used for cutting-edge electronic currencies like Bitcoin.

HeraSpace used EMODnet Human Activities as a data source to feed their neural machine-learning algorithm, which has been designed within the European Space Agency Business Centre in Madrid. The goal is to avoid that vessels might fish in vulnerable or restricted areas, by detecting their coordinates and excluding them from the predictions.

This data add transparency to our stakeholders, from fishermen to partners down to final consumers. With the release of the vessel density maps, the algorithm will produce even better results. HeraSpace differentiate from their competitors because of the accuracy of their fishing recommendations, driven by machine learning, and because of their focus on sustainability.

In the words of Isaac Durá, founder and CEO, this sustainability aspect was further strengthened through data on human activities provided by EMODnet, which added key value to the solutions developed.

Heraspace’s potential as a European business which supports sustainability and core environmental, industrial and ethical values could not be technically implemented without the EMODnet data, and the EMODnet expert support.

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9th FerryBox Workshop

EMODnet Physics co-organises the 9th Ferrybox Workshop in Spring 2019.
24 Apr 2019 to 26 Apr 2019

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