Cartographic Visualisation of Data Measured by Field Harvesters

HERMAN, Lukáš, Tomáš ŘEZNÍK, Tomáš PAVELKA and Šimon LEITGEB. Cartographic Visualisation of Data Measured by Field Harvesters. Online. In Georg GARTNER, Haosheng HUANG. Adjunct Proceedings of the 15th International Conference on Location-Based Services. Wien: Vienna University of Technology, 2019, p. 37-44. Available from: https://dx.doi.org/10.34726/lbs2019.

Basic information

• Original name: Cartographic Visualisation of Data Measured by Field Harvesters
• Authors: HERMAN, Lukáš, Tomáš ŘEZNÍK, Tomáš PAVELKA and Šimon LEITGEB.
• Edition: Wien, Adjunct Proceedings of the 15th International Conference on Location-Based Services, p. 37-44, 8 pp. 2019.
• Publisher: Vienna University of Technology

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10500 1.5. Earth and related environmental sciences
• Country of publisher: Austria
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• WWW: on-line verze příspěvku
• Organization unit: Faculty of Science
• Doi: http://dx.doi.org/10.34726/lbs2019
• Keywords in English: cartographic visualisation; filtration; harvester measurement; precision agriculture; yield map
• Tags: International impact, Reviewed

Abstract

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.

Links

• 818346, interní kód MU: Name: Si-EU-Soil (Acronym: SIEUSIOL)

Investor: European Union, Food security, sustainable agriculture and forestry, marine and maritime and inland water research (Societal Challenges)