We are DunavNET, a company focused on designing and implementing turnkey IoT, ML/AI solutions for the agri-food sector. We are based in an agricultural region, where tasty food and hard work go hand in hand. Our grandparents taught us what it means working in the fields and how to understand farmers and their needs. As adults, with university degrees from electrical engineering, computer science and agronomy, we learned how novel technologies can be applied in agriculture and help farmers to produce more tasty food.
Research and innovation projects that we were involved in facilitated our interaction with farmers in different regions, understanding the challenges they are facing as well as creation and validation of the initial smart agriculture PoC solutions.
We have worked hard on creating an ecosystem of partners with whom we can rapidly design, implement, deliver and deploy turnkey IoT, ML/AI solutions. Our ecosystem combines companies from the technology sector, domain experts and researchers as well as domain specific knowledge required to create adequate guidance and recommendations to the end users (farmers), and the appropriate business development and sales channels.
Strong ecosystem and our enthusiasm led us to the final product agroNET, a modular and open smart agriculture platform providing holistic support to the farmers, acting as a farm data interoperability hub with built-in powerful data analytics modules.
DNET Labs, the research and innovation branch of the DunavNET Group, has been part of the H2020 DEMETER project since 2019. DEMETER is a large-scale project that utilizes digital technologies to serve farmers. It adopts a ‘human-in-the-loop’ approach, combining human knowledge and expertise with digital information. The project emphasizes interoperability as the primary digital enabler, expanding its coverage to include data, platforms, services, applications, and online intelligence. Additionally, DEMETER connects farmers and advisors with ICT solutions and machinery providers to implement interoperability effectively.