Maps and the Internet

Connected and Crowdsourced

5101.4 - Cartographical visualization of crowdsourcing data in precision agriculture

Wednesday, July 5
9:30 AM - 9:50 AM
Location: Delaware A

Crowdsourcing is a practice of obtaining (geospatial) information from a large number of people, either paid or unpaid. Crowdsourcing is being recently used al-so in the precision agriculture domain where one of the biggest crowdsourcing de-vices are used, i.e. tractors equipped with a navigation system receiver. Obtained geospatial data from fleet monitoring in such a case comprise a tractor track to-gether with several attribute data.This paper aims at geovisualization of economi-cal attributes data on one hand, e.g. fuel consumption or time of operations, as well as ecological ones, e.g. amount of fertilizer and/or pesticide inserted into the ground in a certain place. Interactive cartographic visualization techniques were developed according to the end user needs for the economic data. Demonstration of progressive cartographic animations is provided. On the contrary, ecological data are typically visualized as interpolated surfaces. The presented FOODIE platform, one of the main outcomes of the equally-abbreviated European pro-ject, is one centralized place for all the above mentioned geovisualizations. As such, it exploits feedback from thousands of users that is depicted in the conclu-sions.

Tomas Reznik

Masaryk University, Faculty of Science, Department of Geography

Associated Prof. Tomáš Řezník, PhD. focuses on issues related to the domains of agro-IT, SDIs, Web cartography, sensor networks and metadata management. He also worked as a post-doctorate scientific/technical project officer at the Joint Research Centre (JRC) of the European Commission between 2011 and 2012. He has participated in several standardization and framework organizations, e.g. International Society for Digital Earth (ISDE), CEN/TC 287 Geographic information or as a metadata expert for the European Umbrella Organisation for Geographic Information (EUROGI). His project-based experience, gained from the EU Horizon 2020, 7th Framework Programme projects and eContentplus projects.


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5101.4 - Cartographical visualization of crowdsourcing data in precision agriculture

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