Další formáty:
BibTeX
LaTeX
RIS
@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.
|
