R&D
Our solid expertise in R&D and the high level of development achieved in our projects have allowed us to obtain the Innovative SME stamp granted by the Spain Ministry of Economy, Industry and Competitiveness. At Feeding Systems, we stand out for the commercialization of our own products, the result of an intense research and development activity applied to the aquaculture sector.
Thanks to our close relationship with customers worldwide, we are always aware of the needs of the aquaculture sector, which drives us to develop innovative solutions that allow aquaculture farms to move towards a more efficient, automated and environmentally friendly production.
RAS-AI
Recirculating Aquaculture Systems with Artificial Intelligence
The RAS-AI (Recirculating Aquaculture Systems with Artificial Intelligence) project represents one of FishFarmFeeder’s most ambitious ventures in the field of digital and sustainable aquaculture. Its goal is to develop an intelligent integrated management platform for recirculation systems (RAS), based on Artificial Intelligence, Edge Computing, and Big Data, capable of autonomously optimizing critical production processes: feeding, water quality control, and energy efficiency.
The project has been co-financed by the Galician Institute for Economic Promotion (IGAPE) under the IGAPE INNOVA call (IG408L.2025.000.000019).
FLATCLASS
FLATfish length and thickness CLASification System by artificial intelligence
The FLATCLASS project aims to develop an innovative system that automatically classifies sole fry (Solea solea) according to their size and weight, using cameras and artificial intelligence techniques. Classification or grading is an essential step in aquaculture, as it allows fish to be grouped homogeneously, reducing competition for food, improving growth, and minimizing stress and mortality. Thanks to this technology, it is possible to process thousands of specimens quickly and accurately, optimizing batch management and reinforcing the sustainability of the farm. In this way, FLATCLASS contributes to more efficient management and animal welfare, representing a significant advance for the future of aquaculture.
The project has been co-financed by the Galician Institute for Economic Promotion (IGAPE) under the IA360 call for grants for technological development and innovation through the use of artificial intelligence (IG408M.2025.000.000072).
ALEVIA
Data space for the automated classification of fry using computer vision and machine learning for precision and sustainable aquaculture.
The ALEVIA project focuses on developing an advanced platform for the automated classification of fry using computer vision, neural networks, and interoperable data spaces. Its scope includes creating a system capable of processing images in real time, identifying deformities, and assessing the viability of fish, ensuring accuracy, traceability, and regulatory compliance. The solution integrates machine learning algorithms, predictive analytics, and connectivity with reference architectures such as Gaia-X, offering a robust tool to improve production efficiency, environmental sustainability, and biosecurity in aquaculture.
This project has the financial support of the Spain Ministry for Digital Transformation and Public Administration, through the call for proposals for Technological Products and Services for Data Spaces (TSI-100130-2024-9).
PREFISHFARM
PREFISHFARM promotes the aquaculture of the future through a proof of concept of precision fish farming (PFF) in the polygon of productive units of IRFAP LIMIA in Puerto de Andratx. This project is a collaboration between two international companies, Aqüicultura Balear, SAU (Cooke España) and FishFarmFeeder (Feeding Systems S.L.), together with two research institutions: IRFAP LIMIA and the Institut Mediterrani d’Estudis Avançats (IMEDEA, CSIC-UIB).
The project has been selected in the spanish call for Public-Private Collaboration Projects of the State Plan for Scientific, Technical and Innovation Research 2021-2023 co-funded by the European Union (CPP2023-010949).
AI4F
Intelligent Aquaculture for the Future
AI4F aims to integrate multi-parametric sensing, Big Data, Edge Computing and Artificial Intelligence to transform aquaculture management into a more accurate, efficient and sustainable activity. Its goal is to create a hardware-software platform capable of capturing, analyzing and exploiting environmental, feeding and animal behavior data in real time, allowing to anticipate risks and optimize decision making.
AI4F drives the transition towards aquaculture 4.0, providing a holistic view of production systems, improving production efficiency, animal welfare and reducing environmental impact. This project has been co-funded by the Spanish CDTI-PID program (IDI-20230121).
Smart Hatchery
Smart FEEding Systems for Hatcheries
The uniqueness of SmartHatchery is based on being the first solution capable of providing centralized automatic co-feeding (live feed and new generation microdiets) for the production of marine fish fry and shrimp larvae.
This project coordinated by FishFarmFeeder has been co-funded by EU Executive Agency for Small and Medium-sized Enterprises (EASME) within the EMFF-BlueEconomy-2018 program (G.A. No. 863709).
SeaFeed
Floating feeding sytem for aquaculture at sea
The main objective of the SeaFeed project is the development of a feeding system for aquaculture at sea, either offshore or near the coast, automated, intelligent and autonomous, installed on an energy efficient floating platform, to optimize the feeding processes and ensure the technological independence of the Galician aquaculture industry against technical imports from third countries.
This project has been co-funded by the Conecta Peme program of the Xunta de Galicia to promote cooperation between SMEs and other agents of the Galician innovation system (IN852A 2018/55).
NovoFeed
Smart-System for larval brood feeding in aquaculture with live feed
The overall objective is the development of an intelligent automated system to optimize the process of feeding live for larval fry.
Therefore, the aim is to automate the process of the first feeding with live prey. To implement as a regular element in the culture processes of the hatcheries integrated intelligent systems of dosage with live feed compatible with the early needs of the larvae.
This project has been co-funded by the Spain CDTI-PID program (IDI-20170411).
SmartFeed
Development of intelligent automated systems for aquaculture feeding
This project has been co-financed by the European Regional Development Fund FEDER-INTERCONNECTA 2015 (ITC-20151187).
The objective is to implement feed management systems that cover all growth phases, from the very moment fish larvae start feeding on balanced diets to the final fattening phase.
These systems will incorporate a range of sensors and software that will allow producers to obtain maximum control over feeding processes that, due to their technical and biological complexity, are currently very difficult to manage, guaranteeing stable and replicable productions.
