On February 20th 2017, we had the pleasure to host a workshop at the premises of the Agricultural University of Athens (AUA), co-organized together with the colleagues from the Laboratory of Viticulture.
Delegates from the Chinese Academy of Agricultural Sciences (CAAS), and more specifically from the Agricultural Information Institute and the National Science Library, were also invited to present their research activities and the Big Data infrastructures that are being implemented in CAAS, in the scope of also exchanging knowledge, experience and ideas.
The workshop provided us with the excellent opportunity to present our use case pilot demonstrator, “VITIS”, that is being developed by Agroknow with support from the BigDataEurope Horizon 2020 project.… Click to read the full post
May was all about Agroknow’s Open Harvest! The logic behind this meeting has been explained in detail here and one of the major outcomes is the -already famous- Chania Declaration.
As promised and planned, on Thursday 19th of May, second day of the meeting and after the end of all discussions and presentations, it was time to offer all participants a first sneak preview of the use case pilot demonstrator that we have been developing in the context of the BigDataEurope Horizon 2020 project.
In order to help participants visualize what this demonstrator will be all about and what problems could help solve, we had organized a hands-on-visit to a nearby traditional vineyard and winery.… Click to read the full post
In an earlier post, we explained how Variety, one of the four Vs of Big Data, applies in a specific domain as is the one of Viticulture and how all this connects with Agroknow’s work (a.k.a. our use case pilot) in the context of the BigDataEurope Horizon 2020 project.
Viticulture is one of those domains of Agriculture, and obviously not the only one, where data are present throughout the entire process, from the vineyard where various activities take place to the laboratory where analyses are being done. Different vineyards to set the experiment, different grapevine varieties or even different samples of the same variety but from different locations to study, different equipment to use, different methods and protocols to follow, all these contain more than one type of data and all these constitute variables that can differentiate the research outcomes.… Click to read the full post