EGU22-12431, updated on 28 Mar 2022
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Map WhiteBoard - New Technology in Collaborative Research in Smart FArming

Karel Charvat1, Runar Bergheim2, Raitis Berzins3, Dailis Langovskis3, Frantisek Zadrazil4, and Hana Kubickova1
Karel Charvat et al.
  • 1Plan4all, Research, Czechia (
  • 2Asplan Viak
  • 3Baltic Open Solution Centre
  • 4Lesprojekt sluzby s.r.o

Earth Observation plays important role in Precision Agriculture. Precision agriculture, holds great promise for modernization of agriculture both in terms of environmental sustainability and economic outlook.  The vast data archives made available through Copernicus and related infrastructures, combined with a low entry threshold into the domain of AI-technologies has made it possible, if not outright easy, to make meaningful predictions that divides individual agricultural fields into zones where variable rates of fertilizer, irrigation and/or pesticide are required for optimal soil productivity and minimized environmental impact. Usage of Earth Observation in Precision Agriculture is in many years subjects of intensive research, but there already exist commercial application. But full potential of EO is till now not utilised. This limits the uptake of precision agriculture technology and thus also the realization of its promised benefits. EO4Agri project in its Strategic Research Agenda identified as one from  priorities for future to support collaborative research of expert from different domains, EO, agriculture, Artificial Intelligence and also direct involvement of farmers or advisors. But till now there didn’t exist platforms, which will be able to support such collaborative research. Now The Map Whiteboard is opening new possibilities for such collaborative research in this domain.

The Map Whiteboard concept at the centre of this submission is intended to plug into the “traditional” workflow of variable rate applications and enables agricultural advisors/extension services and farmers to interact, adjust and share an understanding of the estimations made by the ‘black box’, thus increasing the trust in and improving the quality of the prediction models. The vision of the Map Whiteboard innovation was conceived out of a sequence of large-scale collaborative writing efforts using Google Docs. As opposed to traditional offline word processing tools, Google Docs allows multiple people to edit the same document]—at the same time—allowing all connected clients to see changes made to the document in real-time by synchronising all changes between all connected clients via the server. The ability to work on a shared body of text, avoiding the necessity to integrate fragments from multiple source documents and with multiple styles removed many obstacles associated with traditional document editing. The Map Whiteboard technology seeks to do the same for the traditional use of GIS tools. The overall vision for the technology is that a Map Whiteboard will be to GIS what Google Docs is to word processing. We are now introducing this technology as a tool for collaborative work farmers and advisory services offering them analysis of EO data. The Map Whiteboard is now in intensive tested  and now are integrated tools for online analysis of EO data.

How to cite: Charvat, K., Bergheim, R., Berzins, R., Langovskis, D., Zadrazil, F., and Kubickova, H.: Map WhiteBoard - New Technology in Collaborative Research in Smart FArming, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12431,, 2022.