SmartGeoFish Knowledge Sharing Workshop

Date: 20/09/2022

Location: Szentes, Hungary

Objectives of the workshop

SmartGeoFish Knowledge Sharing Workshop aimed to present good practices from the agri-food sector to inspire future collaboration with the relevant stakeholders. We extended the scope of the workshop from the aquaculture to the agri-food sector to be more in line with the SmartAgriHubs project objectives.

Participating DIHs: Innoskart, Innomine

Summary of the event

At the beginning of the Knowledge Sharing Workshop, Zsófia Kertész (Campden BRI Hungary as DIH) welcomed the participants and presented SmartAgriHubs and the opportunities the projet offered to the agri-food sector.

Then, our invited speaker, Dr Miklós Csikai (president of Árpád-Agrár Zrt) had his presentation on the capabilities and opportunities the region of Szentes can offer to farmers. He empahised that the sustainable production and mutual collaboration between stakeholders are the key to overcome such challenging time like this.

The next presenter was Attila Berczeli (Campden BRI Hungary as DIH) to introduce the SmartGeoFish technology concept development approach and its adaptability to other agi-food sectors. Success sotries were presented from previous expereince.

István Pokó, Valéria Tálai and László Dvorszky from Seacon Europe Kft highlighted the importance of digitalization in aquaculture by presenting the developed systems in details.

The event ended with a presentation of Orsolya Szaplonczay (Innoskart DIH) presenting the results of the DIH_Challenger project.

Agenda of the event: https://campdenbri.hu/en/hirek/en-hirek.php#2022-29

Feedback

The agri-food sector is under great pressure due to the high energy prices and labour shortage. The presented solutions would enable companies to increase their competitiveness in this very difficult environment.

Resource efficiency is one of the top priorities in the agri-food sector. The new type of service like the presented would be beneficial to the sector as it is more cost effective than the precision agriculture methods.