The project MooringSense aims at reducing operational costs and increasing efficiency through the development of an efficient risk-based integrity management strategy for mooring systems based on an affordable and reliable on-line monitoring technology. The proposed solution will be enabled by the development of a low-cost smart sensor for FOWT motion monitoring, a Mooring System Digital Twin (DT) model, Structural Health Monitoring (SHM) techniques, as well as control strategies for mooring condition management tolerance at turbine and farm levels. The monitoring technology proposed will replace the existing unreliable and expensive monitoring systems based on load cells in the mooring lines by a combination of a robust motion sensor and numerical models. In addition, measurements will enable the development of more efficient operation and maintenance strategies, including optimized control. MooringSense’s consortium strength covers the full value chain, with a proven track record in the Offshore Wind and Oil and Gas Industries, and supported by experienced research institutions, the project will start from current partner’s technology to develop an innovative cost-efficient mooring integrity management enabled by Global Navigation Satellite System technology, coupled numerical modelling, control engineering and machine learning, with both increased efficiency of the overall resulting system as well as reduced operational expenditures, when compared with known incumbent alternatives.

The objective of SMARTFISH is to develop, test and promote a suite of high-tech systems for the EU fishing sector, to optimize resource efficiency, to improve automatic data collection for fish stock assessment, to provide evidence of compliance with fishery regulations and to reduce ecological impact. SMARTFISH exploits technological developments in machine vision, camera technology, data processing, machine learning, artificial intelligence, big data analysis, smartphones/tablets, LED technology, acoustics and ROV technology to build systems for monitoring, analyzing and improving processes for all facets of the fishing sector, from extraction, to assessment, to monitoring and control. The SMARTFISH systems will: - assist fishermen in making informed decisions during pre-catch, catching, and post-catch phases of the extraction process. This improves catch efficiencies and compositions in fisheries across the EU, leading to improved economic efficiency while reducing unintended fish mortality, unnecessary fishing pressure and ecosystem damage. - provide new data for stock assessment from commercial fishing and improve the quality and quantity of data that comes from traditional assessment surveys. This provides more accurate assessment of currently assessed stocks and allow the assessment of data-poor stocks. - permit the automatic collection of catch data to ensure compliance with fisheries management regulations. The SMARTFISH systems are tested and demonstrated in several EU fisheries. This contributes to promoting the uptake of the systems by extraction sector and fisheries agencies. An interdisciplinary consortium with technology developers and instrument suppliers, fishing companies, research and fisheries management institutes and universities will realize SMARTFISH. They are active at national and international levels and well placed to ensure the uptake of SMARTFISH systems by fishing industry and fisheries managers and stock assessment scientists.

OptiFish will strive to provide technological solutions that will simultaneously improve the sustainability of fisher’s operations, enhance control processes and strengthen society’s trust in their products. OptiFish will develop, test and recommend a set of innovative technologies and tools supported by artificial intelligence (AI) to provide the management, the fishing sector and the scientist with data on catch volumes, catch compositions and the fishing environment. The goal is to unlock the full potential of technologies such as electronic and genetic monitoring for automated species recognition based on AI and computer vision to reduce discards, unreported landings and unreported fishing activities, ultimately establishing a fisheries control and enforcement system fit for the digital age. The technologies are not enough alone, it is also critical to consider the combination of technologies and the integration of computer vision models, the wide range of data sources and their subsequent formats, while also addressing stakeholders needs and acceptance. This goal cannot be achieved by a single project, which is why the aim of OptiFish is to lay a solid foundation for full technological development from which other projects and initiatives can be built. The project will place a strong focus on species recognition in different fisheries equipped with distinctly different catch handling facilities and in different European sea basins. To ensure that these innovations are relevant to fisheries management, OptiFish has participation from the Norwegian Directorate of Fisheries, and has received written support from the European Fisheries Control Agency (EFCA), the Basque, Danish and Belgian Fisheries authorities.

MarineGuardian will, through a holistic approach, provide impact-driven solutions to reduce fisheries´ environmental impacts on marine species and habitats in line with the Common Fisheries Policy, Marine Action Plan, EU 2030 Biodiversity Strategy and Marine Strategy Framework Directive. The seafood sector contributes to global food security, but is largely unsustainable, with 38% of fish stocks overexploited and significant ecological implications. 79% of EU’s coastal seabed habitats are disrupted, and a quarter lost, mainly due to intense bottom trawling. Current solutions for more sustainable fisheries exist but are fragmented and often lack real-time actionable insights for fishers and policymakers. MarineGuardian will advance tools, technologies and operational strategies, and enhance knowledge to accelerate the transition towards sustainable and economically viable fisheries. The project will deliver: 1) innovative technologies to reduce and prevent incidental catches of sensitive species and juveniles, 2) best practice guidelines for reduced discard and damage to catch, 3) decision support systems for effective mitigation measures to protect sensitive marine ecosystems, whilst optimising fishing operations, 4) new methods for data sharing in seafood value chains to ease corporate sustainability reporting and ecolabelling processes. These will be co-developed with fishers, management authorities, and policy makers, tested in 6 case studies to demonstrate their feasibility and ensure long term viability of the European seafood sector. A roadmap for sustainable fisheries will be drawn-up to demonstrate scalability and replicability of the solutions in line with the Mission Ocean objectives. The consortium holds the cross-cutting knowledge and expertise within private and research sectors from across the Atlantic and Arctic Sea basin, needed to successfully reach the project’s objectives and have a long-lasting impact on the seafood sector and marine environment.