Interpolation of Data Measured by Field Harvesters: Deployment,
Comparison and Verification

D 2020

Interpolation of Data Measured by Field Harvesters: Deployment, Comparison and Verification

ŘEZNÍK, Tomáš, Lukáš HERMAN, Kateřina TROJANOVÁ, Tomáš PAVELKA, Šimon LEITGEB et. al.

Základní údaje

Originální název

Interpolation of Data Measured by Field Harvesters: Deployment, Comparison and Verification

Autoři

ŘEZNÍK, Tomáš (203 Česká republika, garant, domácí), Lukáš HERMAN (203 Česká republika, domácí), Kateřina TROJANOVÁ (203 Česká republika, domácí), Tomáš PAVELKA (203 Česká republika, domácí) a Šimon LEITGEB (203 Česká republika, domácí)

Vydání

Cham, Germany, Environmental Software Systems. Data Science in Action. ISESS 2020. IFIP Advances in Information and Communication Technology, Vol. 554, od s. 258-270, 13 s. 2020

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10500 1.5. Earth and related environmental sciences

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

on-line verze příspěvku

Kód RIV

RIV/00216224:14310/20:00115264

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-3-030-39814-9

ISSN

DOI

http://dx.doi.org/10.1007/978-3-030-39815-6_25

UT WoS

000668578400025

Klíčová slova anglicky

data filtering; field harvester; interpolation; Inverse Distance Squared; Inverse Distance Weighted; Ordinary Kriging; yield mapping

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 11. 8. 2021 09:15, Mgr. Marie Šípková, DiS.

Anotace

V originále

Yield is one of the key indicators in agriculture. The most common practices provide only one yield value for a whole field according to the weight of the harvested crop. On the contrary, precision agriculture techniques discover spatial patterns within a field to minimise the environmental burden caused by agricultural activities. Field harvesters equipped with sensors provide more detailed and spatially localised values. The measurements from such sensors need to be filtered and interpolated for the purposes of follow-up analyses and interpretations. This study verified the differences between three methods of interpolation (Inverse Distance Weighted, Inverse Distance Squared and Ordinary Kriging) derived from field sensor measurements that were (1) obtained directly from the field harvester, (2) processed by global filters, and (3) processed by global and local filters. Statistical analyses evaluated the results of interpolations from three fully operational Czech fields. The revealed spatial patterns, as well as recommendations regarding the suitability of the interpolation methods used, are presented at the end of this paper.

Návaznosti

MUNI/A/1576/2018, interní kód MU

Název: Komplexní výzkum geografického prostředí planety Země

Investor: Masarykova univerzita, Komplexní výzkum geografického prostředí planety Země, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

818346, interní kód MU

Název: Si-EU-Soil (Akronym: SIEUSIOL)

Investor: Evropská unie, Si-EU-Soil, Food security, sustainable agriculture and forestry, marine and maritime and inland water research (Societal Challenges)

Citovat

ŘEZNÍK, Tomáš, Lukáš HERMAN, Kateřina TROJANOVÁ, Tomáš PAVELKA a Šimon LEITGEB. Interpolation of Data Measured by Field Harvesters: Deployment, Comparison and Verification. In Athanasiadis I., Frysinger S., Schimak G., Knibbe W. Environmental Software Systems. Data Science in Action. ISESS 2020. IFIP Advances in Information and Communication Technology, Vol. 554. Cham, Germany: Springer, 2020, s. 258-270. ISBN 978-3-030-39814-9. Dostupné z: https://dx.doi.org/10.1007/978-3-030-39815-6_25.

@inproceedings{1613956,
   author = {Řezník, Tomáš and Herman, Lukáš and Trojanová, Kateřina and Pavelka, Tomáš and Leitgeb, Šimon},
   address = {Cham, Germany},
   booktitle = {Environmental Software Systems. Data Science in Action. ISESS 2020. IFIP Advances in Information and Communication Technology, Vol. 554},
   doi = {http://dx.doi.org/10.1007/978-3-030-39815-6_25},
   editor = {Athanasiadis I., Frysinger S., Schimak G., Knibbe W.},
   keywords = {data filtering; field harvester; interpolation; Inverse Distance Squared; Inverse Distance Weighted; Ordinary Kriging; yield mapping},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Cham, Germany},
   isbn = {978-3-030-39814-9},
   pages = {258-270},
   publisher = {Springer},
   title = {Interpolation of Data Measured by Field Harvesters: Deployment, Comparison and Verification},
   url = {https://link.springer.com/chapter/10.1007%2F978-3-030-39815-6_25},
   year = {2020}
}

TY  - JOUR
ID  - 1613956
AU  - Řezník, Tomáš - Herman, Lukáš - Trojanová, Kateřina - Pavelka, Tomáš - Leitgeb, Šimon
PY  - 2020
TI  - Interpolation of Data Measured by Field Harvesters: Deployment, Comparison and Verification
PB  - Springer
CY  - Cham, Germany
SN  - 9783030398149
KW  - data filtering
KW  - field harvester
KW  - interpolation
KW  - Inverse Distance Squared
KW  - Inverse Distance Weighted
KW  - Ordinary Kriging
KW  - yield mapping
UR  - https://link.springer.com/chapter/10.1007%2F978-3-030-39815-6_25
L2  - https://link.springer.com/chapter/10.1007%2F978-3-030-39815-6_25
N2  - Yield is one of the key indicators in agriculture. The most common practices provide only one yield value for a whole field according to the weight of the harvested crop. On the contrary, precision agriculture techniques discover spatial patterns within a field to minimise the environmental burden caused by agricultural activities. Field harvesters equipped with sensors provide more detailed and spatially localised values. The measurements from such sensors need to be filtered and interpolated for the purposes of follow-up analyses and interpretations. This study verified the differences between three methods of interpolation (Inverse Distance Weighted, Inverse Distance Squared and Ordinary Kriging) derived from field sensor measurements that were (1) obtained directly from the field harvester, (2) processed by global filters, and (3) processed by global and local filters. Statistical analyses evaluated the results of interpolations from three fully operational Czech fields. The revealed spatial patterns, as well as recommendations regarding the suitability of the interpolation methods used, are presented at the end of this paper.
ER  -

ŘEZNÍK, Tomáš, Lukáš HERMAN, Kateřina TROJANOVÁ, Tomáš PAVELKA a Šimon LEITGEB. Interpolation of Data Measured by Field Harvesters: Deployment, Comparison and Verification. In Athanasiadis I., Frysinger S., Schimak G., Knibbe W. \textit{Environmental Software Systems. Data Science in Action. ISESS 2020. IFIP Advances in Information and Communication Technology, Vol. 554}. Cham, Germany: Springer, 2020, s.~258-270. ISBN~978-3-030-39814-9. Dostupné z: https://dx.doi.org/10.1007/978-3-030-39815-6\_{}25.

Podrobný výpis o publikaci