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

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Publikace nespadá pod Lékařskou fakultu, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
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ŘEZNÍK Tomáš HERMAN Lukáš TROJANOVÁ Kateřina PAVELKA Tomáš LEITGEB Šimon

Rok publikování 2020
Druh Článek ve sborníku
Konference Environmental Software Systems. Data Science in Action. ISESS 2020. IFIP Advances in Information and Communication Technology, Vol. 554
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www on-line verze příspěvku
Doi http://dx.doi.org/10.1007/978-3-030-39815-6_25
Klíčová slova data filtering; field harvester; interpolation; Inverse Distance Squared; Inverse Distance Weighted; Ordinary Kriging; yield mapping
Popis 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.
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