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@inproceedings{1577857,
author = {Herman, Lukáš and Řezník, Tomáš and Pavelka, Tomáš and Leitgeb, Šimon},
address = {Wien},
booktitle = {Adjunct Proceedings of the 15th International Conference on Location-Based Services},
doi = {http://dx.doi.org/10.34726/lbs2019},
editor = {Georg GARTNER, Haosheng HUANG},
keywords = {cartographic visualisation; filtration; harvester measurement; precision agriculture; yield map},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Wien},
pages = {37-44},
publisher = {Vienna University of Technology},
title = {Cartographic Visualisation of Data Measured by Field Harvesters},
url = {https://lbsconference.org/wp-content/uploads/2019/11/1_7.pdf},
year = {2019}
}
TY - JOUR
ID - 1577857
AU - Herman, Lukáš - Řezník, Tomáš - Pavelka, Tomáš - Leitgeb, Šimon
PY - 2019
TI - Cartographic Visualisation of Data Measured by Field Harvesters
PB - Vienna University of Technology
CY - Wien
KW - cartographic visualisation
KW - filtration
KW - harvester measurement
KW - precision agriculture
KW - yield map
UR - https://lbsconference.org/wp-content/uploads/2019/11/1_7.pdf
N2 - Yield is one of the primary concerns for farmers,asit is the basis for their income and, among other impacts, influences subsidies and taxes. Field harvesters equipped with sensors and a GNSS (Global Navigation Satellite System) receiver provide detailed and spatially localised values, where the measurements from such sensors need to be filtered and subject to further processing, including interpolation, for follow-up visualisation, analysis and interpretation. These data, their processing and their application are some of the aspects of the precision agriculture concept. This paper describes the individual steps of processing the data acquired by harvesters, which especially includethe spatial filtering of these data and their interpolation. We also proposed a scheme that summarises cartographic visualisation methods for these data (final data, as well as data from different processing steps). Methods of processing and cartographic visualisation were verified in the example of the Pivovárka field (Rostěnice farm, Czech Republic). Both 2D and 3D cartographic visualisations were created. Future development of the proposed concept is discussed in the conclusions.
ER -
HERMAN, Lukáš, Tomáš ŘEZNÍK, Tomáš PAVELKA a Šimon LEITGEB. Cartographic Visualisation of Data Measured by Field Harvesters. Online. In Georg GARTNER, Haosheng HUANG. \textit{Adjunct Proceedings of the 15th International Conference on Location-Based Services}. Wien: Vienna University of Technology, 2019, s.~37-44. Dostupné z: https://dx.doi.org/10.34726/lbs2019.
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