Evaluation on IT Tools on MFS
During this activity, the faculty staff from all partners will meet in Uppsala (Sweden), where they will test and evaluate the current versions of the developed IT tools.
During a three days activity that will take place in Uppsala at Sweden on Jan. 31st to Feb. 3rd 2023, the participants will test the outputs O3, O4, O5. Specifically, in day one, the final version of SmartROOT Virtual Farm Hub (O3) will be tested in order to evaluate the reliability and effectiveness in the educational procedure. On the second day, the participants will accomplish an evaluation in the final version of the MFS Educational Management Platform (O4) in order to evaluate the functionality and educational competence. Finally, on the third day, the participants will test an early version of the Augment Reality Learning Environment (O5) in order to suggest further enrichment to its educational contents.
Wednesday, 1st of February 2023
Room: Yggdrasil, VHC-building, SLU Campus
Thursday, 2nd of February 2023
Room: Arvaker, VHC-building, SLU Campus
Friday, 3rd of February 2023
Room: Tanngrisner, VHC-building, SLU Campus
Study visit to The Swedish Livestock Research Centre Lövsta
On the 2nd of February, the partners visited the facilities of a farm that belongs to SLU, where research is conducted on cows. The visitors had the opportunity to observe the modern technologies used for breeding cows and monitoring their behavior, dietary habits, and movement for extracting useful data and information, aiming to solve common issues and avoid diseases that occur during the cows lifetime.
Training activity: Joint staff evaluation on IT Tools
From 1st to 3rd of February the Training activity for the evaluation of the SmartRoot IT tools took place at Ultuna Campus of Swedish University of Agriculture Sciences (SLU) at Uppsala, Sweden. Each output leader presented a live demonstration of the functionality and capabilities of the developed tools (Virtual Farm Hub- INFALIA, MFS Educational Management Platform- AGRIVI and Augment Reality Learning Environment- IHU), by executing a scenario based on cases derived from real life needs. All partners were trained on the three tools, made pilots on experimental data and provided feedback. Overall, the training event left the participants impressed and satisfied by the quality and progress of the tools, giving them confidence for the success of the end result.