The Use of Spatial Interpolation to Improve the Quality of Corn Silage Data in Case of Presence of Extreme or Missing Values

The Use of Spatial Interpolation to Improve the Quality of Corn Silage Data in Case of Presence of Extreme or Missing Values

Agricultural spatial analysis has the potential to offer new ways of analyzing crop data considering the spatial information of the measurements. Moving from farmers’ estimates and crop-cuts techniques to interpolation is a new challenge, and a promising path to achieving more reliable results, espe...

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Bibliographic Details
Main Authors: Thomas M. Koutsos, Georgios C. Menexes, Ilias G. Eleftherohorinos
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
spatial analysis
experiments
agricultural experimentation
Online Access:https://www.mdpi.com/2220-9964/11/3/153

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