USING UAV-DERIVED PLANT HEIGHT AS AN ESTIMATOR FOR BIOMASS AND N-UPTAKE

In Precision Agriculture applications, the knowledge of the N-uptake of crops in a spatial context is a precondition for precise N-fertilization. Therefore, non-destructive methods to determine N concentration or N-uptake of crops are of key interest. In this contribution, we will present an approac...

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Main Authors: G. Bareth, C. Hütt, A. Jenal, A. Bolten, I. Kleppert, H. Firl, J. Wolf, H. Hüging
Format: Article
Language:English
Published: Copernicus Publications 2023-12-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1867/2023/isprs-archives-XLVIII-1-W2-2023-1867-2023.pdf
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author G. Bareth
C. Hütt
A. Jenal
A. Jenal
A. Bolten
I. Kleppert
H. Firl
J. Wolf
H. Hüging
author_facet G. Bareth
C. Hütt
A. Jenal
A. Jenal
A. Bolten
I. Kleppert
H. Firl
J. Wolf
H. Hüging
author_sort G. Bareth
collection DOAJ
description In Precision Agriculture applications, the knowledge of the N-uptake of crops in a spatial context is a precondition for precise N-fertilization. Therefore, non-destructive methods to determine N concentration or N-uptake of crops are of key interest. In this contribution, we will present an approach based on UAV-based crop height analysis to estimate N-uptake. The hypothesis is that biomass can be very well estimated using UAV-derived crop height. It is also known that biomass is highly correlated with N-uptake. Hence, we propose to use UAV-derived crop height as a direct estimator for N-uptake. We will present results from a winter wheat field trial comprising six varieties, three different N amounts, and five repetitions. Multitemporal models have been created from data of the growing season 2020 with a promising performance for biomass (R<sup>2</sup> = 0.91) and N-uptake (R<sup>2</sup> = 0.72). The two linear regression models have been applied to a similar independent data set from the following year, 2021. The results are promising for biomass (R<sup>2</sup> = 0.82) and N-uptake (R<sup>2</sup> = 0.75). Based on our findings, we conclude that UAV-derived crop height - as a structural crop trait - can robustly serve as an estimator for biomass and N-uptake in winter wheat.
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spelling doaj.art-90ecbb426e224ab08ca07895306ae38b2023-12-14T23:02:09ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-12-01XLVIII-1-W2-20231867187210.5194/isprs-archives-XLVIII-1-W2-2023-1867-2023USING UAV-DERIVED PLANT HEIGHT AS AN ESTIMATOR FOR BIOMASS AND N-UPTAKEG. Bareth0C. Hütt1A. Jenal2A. Jenal3A. Bolten4I. Kleppert5H. Firl6J. Wolf7H. Hüging8GIS & RS Group, Institute of Geography, University of Cologne, GermanyGIS & RS Group, Institute of Geography, University of Cologne, GermanyGIS & RS Group, Institute of Geography, University of Cologne, GermanyAMLS – Application Centre for Machine Learning and Sensor Technologies, University of Applied Sciences Koblenz, Remagen, GermanyGIS & RS Group, Institute of Geography, University of Cologne, GermanyGIS & RS Group, Institute of Geography, University of Cologne, GermanyGIS & RS Group, Institute of Geography, University of Cologne, GermanyGIS & RS Group, Institute of Geography, University of Cologne, GermanyINRES – Crop Sciences, Bonn University, GermanyIn Precision Agriculture applications, the knowledge of the N-uptake of crops in a spatial context is a precondition for precise N-fertilization. Therefore, non-destructive methods to determine N concentration or N-uptake of crops are of key interest. In this contribution, we will present an approach based on UAV-based crop height analysis to estimate N-uptake. The hypothesis is that biomass can be very well estimated using UAV-derived crop height. It is also known that biomass is highly correlated with N-uptake. Hence, we propose to use UAV-derived crop height as a direct estimator for N-uptake. We will present results from a winter wheat field trial comprising six varieties, three different N amounts, and five repetitions. Multitemporal models have been created from data of the growing season 2020 with a promising performance for biomass (R<sup>2</sup> = 0.91) and N-uptake (R<sup>2</sup> = 0.72). The two linear regression models have been applied to a similar independent data set from the following year, 2021. The results are promising for biomass (R<sup>2</sup> = 0.82) and N-uptake (R<sup>2</sup> = 0.75). Based on our findings, we conclude that UAV-derived crop height - as a structural crop trait - can robustly serve as an estimator for biomass and N-uptake in winter wheat.https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1867/2023/isprs-archives-XLVIII-1-W2-2023-1867-2023.pdf
spellingShingle G. Bareth
C. Hütt
A. Jenal
A. Jenal
A. Bolten
I. Kleppert
H. Firl
J. Wolf
H. Hüging
USING UAV-DERIVED PLANT HEIGHT AS AN ESTIMATOR FOR BIOMASS AND N-UPTAKE
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title USING UAV-DERIVED PLANT HEIGHT AS AN ESTIMATOR FOR BIOMASS AND N-UPTAKE
title_full USING UAV-DERIVED PLANT HEIGHT AS AN ESTIMATOR FOR BIOMASS AND N-UPTAKE
title_fullStr USING UAV-DERIVED PLANT HEIGHT AS AN ESTIMATOR FOR BIOMASS AND N-UPTAKE
title_full_unstemmed USING UAV-DERIVED PLANT HEIGHT AS AN ESTIMATOR FOR BIOMASS AND N-UPTAKE
title_short USING UAV-DERIVED PLANT HEIGHT AS AN ESTIMATOR FOR BIOMASS AND N-UPTAKE
title_sort using uav derived plant height as an estimator for biomass and n uptake
url https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1867/2023/isprs-archives-XLVIII-1-W2-2023-1867-2023.pdf
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