ŘEZNÍK, Tomáš, Tomáš PAVELKA, Lukáš HERMAN, Šimon LEITGEB, Vojtěch LUKAS and Petr ŠIRŮČEK. Deployment and Verifications of the Spatial Filtering of Data Measured by Field Harvesters and Methods of Their Interpolation: Czech Cereal Fields between 2014 and 2018. Sensors. Basel, Switzerland: MDPI, 2019, vol. 19, No 22, p. 1-25. ISSN 1424-8220. Available from: https://dx.doi.org/10.3390/s19224879.
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Basic information
Original name Deployment and Verifications of the Spatial Filtering of Data Measured by Field Harvesters and Methods of Their Interpolation: Czech Cereal Fields between 2014 and 2018
Authors ŘEZNÍK, Tomáš (203 Czech Republic, guarantor, belonging to the institution), Tomáš PAVELKA (203 Czech Republic, belonging to the institution), Lukáš HERMAN (203 Czech Republic, belonging to the institution), Šimon LEITGEB (203 Czech Republic, belonging to the institution), Vojtěch LUKAS (203 Czech Republic) and Petr ŠIRŮČEK (203 Czech Republic).
Edition Sensors, Basel, Switzerland, MDPI, 2019, 1424-8220.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10500 1.5. Earth and related environmental sciences
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.275
RIV identification code RIV/00216224:14310/19:00111232
Organization unit Faculty of Science
Doi http://dx.doi.org/10.3390/s19224879
UT WoS 000503381500058
Keywords in English field harvester; yield mapping; sensor measurements; interpolation; data filtering
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 26/3/2020 13:52.
Abstract
Yield mapping is a subject of research in (precision) agriculture and one of the primary concerns for farmers as it forms the basis of their income and has implications for subsidies and taxes. The presented approach involves deployment of field harvesters equipped with sensors that provide more detailed and spatially localized values than merely a sum of yields for the whole plot. The measurements from such sensors need to be filtered and subject to further processing, including interpolation, to facilitate follow-up interpretation. This paper aims to identify the relative differences between interpolations from (1) (field) measured data, (2) measured data that were globally filtered, and (3) measured data that were globally and locally filtered. All the measured data were obtained at a fully operational farm and are considered to represent a natural experiment. The revealed spatial patterns and recommendations regarding global and local filtering methods are presented at the end of the paper. Time investments into filtering techniques are also taken into account.
Links
MUNI/A/1576/2018, interní kód MUName: Komplexní výzkum geografického prostředí planety Země
Investor: Masaryk University, Category A
818346, interní kód MUName: Si-EU-Soil (Acronym: SIEUSIOL)
Investor: European Union, Food security, sustainable agriculture and forestry, marine and maritime and inland water research (Societal Challenges)
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