Press release | Stockholm, December 12th, 2017 | Imagimob receives €400k in funding for Edge AI research in farming. Imagimob will use the funding to further strengthen and customise its Edge AI technology for specific requirements and challenges in the farming industry. The funding is administered by the ECSEL JU and Vinnova.
Farming is facing economic challenges in terms of productivity, cost-effectiveness and increasing labour shortage. In addition, current farming systems have significant drawbacks such as flexibility, efficiency, sustainability and high operator cost. Reliable detection, accurate identification and quantification of factors affecting plant and animal health are critical to reduce costs, trade disruptions and even human health risks.
Imagimob is a member of the AFarCloud (Aggretate Farming in the cloud) consortium which represents the whole ICT-based agriculture solutions’ value chain needed for the future market uptake of the precision farming framework targeted in the project. There are 6 Swedish organisations in the consortium including Imagimob, Mälardalen University and RISE (Research Institutes of Sweden).
Outcomes from the AFarCloud project will strengthen the partners’ market position boosting their innovation capacity, addressing industrial needs in EU and internationally. Achievements in the AFarCloud project will be demonstrated in two field tests in both cropping and livestock scenarios.
About ECSEL JU
ECSEL JU is an EU organisation and a Public-Private Partnership for Electronic Components and Systems. ECSEL funds research, development and innovation projects for world-class expertise in key enabling technologies, essential for Europe's competitive leadership in the era of the digital economy.
Imagimob has invented and developed SensorBeat, a patented technology that allows for Edge AI on small devices. Imagimob is headquartered in Stockholm, Sweden.
For more information please contact:
Anders Hardebring, CEO and Co-Founder
+46 70 591 06 14 |
IAR Systems has more than 46 000 customers and they can now easily add machine learning to their emb...