Supplement to the Article: Influence of spatial and temporal variability on the performance of machine learning-based pasture biomass prediction

6 Pages Posted: 28 Nov 2023

See all articles by Christoph Stumpe

Christoph Stumpe

University of Hohenheim - Institute of Agricultural Engineering

Joerg Leukel

University of Hohenheim - Faculty of Business, Economics and Social Sciences

Tobias Zimpel

University of Hohenheim - Faculty of Business, Economics and Social Sciences

Date Written: October 30, 2023

Abstract

This document provides additional material for an analysis of how spatial and temporal variability influences the performance of machine learning-based pasture biomass prediction using remote sensing. The analysis covers 43 field studies.

Keywords: Grassland, herbage, satellite, UAV, machine learning, review

JEL Classification: Q10

Suggested Citation

Stumpe, Christoph and Leukel, Joerg and Zimpel, Tobias, Supplement to the Article: Influence of spatial and temporal variability on the performance of machine learning-based pasture biomass prediction (October 30, 2023). Available at SSRN: https://ssrn.com/abstract=4617637 or http://dx.doi.org/10.2139/ssrn.4617637

Christoph Stumpe (Contact Author)

University of Hohenheim - Institute of Agricultural Engineering ( email )

Germany

Joerg Leukel

University of Hohenheim - Faculty of Business, Economics and Social Sciences ( email )

Stuttgart
Germany

Tobias Zimpel

University of Hohenheim - Faculty of Business, Economics and Social Sciences ( email )

Germany

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