Dear RE:Labers, this time we would like to tell you about our participation in the EIMA International 2021 event!
 
EIMA is the International Exposition of Machinery for Agriculture and Gardening, a biennial event and one of the leading trade fairs in the agricultural technology sector, that every time brings together companies, customers and other insiders from all over the world (and, why not, some curious visitors too).
Speaking of numbers: EIMA 2021 hosted a total of 1364 exhibitors, of which 1023 were Italian and 341 foreign.  In terms of number of visitors, the event proved to be success, despite the restrictions due to the ongoing Covid-19 pandemic. Visitors numbered more than 270 thousand. Moreover, almost 26,000 of these came from abroad, underlining the international resonance of the fair.

This was the occasion for RE:Lab to present the products and services that we offer to companies and end users. For 5 days we had the opportunity to tell customers, suppliers, and final users about our approach to the design and development of interaction with increasingly refined and complex tools and instruments. Our ISOBUS Stack, HMI Box and GINO were the subject of several discussions on how to make farmers' lives more efficient and easier and how to harness technology and the opportunities offered by IoT and connectivity for agriculture.
It was also a valuable opportunity to meet new stakeholders and learn how to evolve in such a dynamic sector. So, this event also provided us with interesting insights and innovative ideas.
 
Although the format of the event is biennial, EIMA International will exceptionally be held again in 2022, always in Bologna, from 9 to 13 November, and then it will resume its natural biennial schedule. Therefore, we look forward to seeing you next year, and hope you will visit our stand and find out about our latest products and services!

Journal- Mixed Reality (MR) is an immersive and cutting-edge technology that is on the verge of a turning point where we will see very soon its applications abundantly in cars, particularly in automated vehicles. This recent article provides an overview of the goals and  implications of MR in automated vehicles and the challenges and human factor issues that MR technologies have to cope with both in application and in research domains.