AIOFAR’s aim is to improve ocean farming performance by studying the feasibility of farms based on the selected area and monitoring threads that can affect already existing ocean farms such as harmful algal blooms, ocean acidification and harsh weather conditions. This goal is achieved by analysing several sources of input data: multispectral images and marine data parameters from Copernicus program, positioning information from GNSS satellites, in-situ data obtained through deployed IoT devices, and feasibility databases from specialised organisations. All this data is evaluated using artificial intelligence and other advanced processing techniques.

This idea has been already awarded the 3rd place prize by the EU Farming by satellite program 2020, a joint initiative of the GSA and the EEA that rewards young innovators exploring the use of data and signals from the European space programmes Galileo, EGNOS, and Copernicus to improve agriculture and reduce environmental impact.

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Contact the team on LinkedIn or by Email

You can find ongoing research here:

  • GNSS+ ION 2021 
  • IAC Dubai 2021 
  • Workshop “Live demonstration of data processing using artificial intelligence and satellite data for ocean farming applications”

Team

Eva Fernández Rodríguez Zahra Okba Elisée Tchana

Project Manager

Scientist Manager Technical Manager
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Eva Fernández Rodríguez Zahra Okba Elisée Tchana
Cristhian Timote Lisah Ligono Minh-Trang Nguyen Thi
GNSS team member EO data processing team member EO data processing team member
Seth Nyawacha Chukwuma J. Okolie Manav Bahija
EO data processing team member EO data processing team member Business & Funding team member
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