• Capabilities | Development of Artificial Intelligence applications for fisheries management

    Development of Deep Learning algorithms that allow automating fisheries monitoring processes and reducing time and costs compared with processing by human observers. The applications developed range from innovative systems for real-time remote electronic monitoring, which identify and quantify total catches of fishing vessels (e.g., iObserver), to new image recognition techniques that allow individually identifying fish and estimating population parameters. 

     

  • Software | MIDER: a toolbox for network inference using mutual information distance and entropy reduction

    MIDER (mutual information distance and entropy reduction) is a general purpose software tool for inferring network structures. It has been developed with biological networks in mind but can be applied to other areas.

    More information here.

     

  • Capabilities | Development and application of molecular methodologies for the identification and quantification of marine species in environmental samples

    Identification of new molecular markers for species identification through Next-Generation Sequencing in environmental DNA samples, with applications for biodiversity monitoring and fisheries stock assessment. 

     

  • Capabilities | Development and implementation of natural additives and innovative processing techniques for seafood conservation

    Development and implementation of natural additives (i.e., algae extracts and other lipophilic antioxidants) with antimicrobial and antioxidant properties, as well as innovative food processing and preservation methods (i.e. high hydrostatic pressure) to improve seafood conservation and shelf life.

     

  • Industrial Secret | Industrial production protocol for seahorses (Hippocampus reidi)

    Authors: Miquel Planas Oliver; Alexandre Chamorro Valverde

    Description: Development of integrated culture procedures for the industrial production of seahorses of the species Hippocampus reidi.

     

  • Capabilities | Fisheries stock assessment using traditional and molecular ecology approaches

    Development of stock assessment models to estimate fish population status and Maximum Sustainable Yields for fisheries, based on fishing pressure data and population dynamics parameters (abundance, distribution, age, fecundity, etc.) obtained using traditional approaches and -omic techniques, which allow for a much higher spatial resolution. 

     

  • Software | MEIGO: a multiplatform toolbox for Global Optimization using Metaheuristics

    MEIGO is a global optimization toolbox that includes a number of metaheuristic methods, as well as a Bayesian inference method for parameter estimation.

    More information here.