The importance of spectral correction of UAV-based phenotyping with RGB cameras
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The importance of spectral correction of UAV-based phenotyping with RGB cameras. / Svensgaard, Jesper; Jensen, Signe Marie; Christensen, Svend; Rasmussen, Jesper.
I: Field Crops Research, Bind 269, 108177, 2021.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - The importance of spectral correction of UAV-based phenotyping with RGB cameras
AU - Svensgaard, Jesper
AU - Jensen, Signe Marie
AU - Christensen, Svend
AU - Rasmussen, Jesper
N1 - Publisher Copyright: © 2021 Elsevier B.V.
PY - 2021
Y1 - 2021
N2 - Spectral correction of colour (RGB) cameras mounted on unmanned aerial vehicles (UAV) is considered important to produce accurate data for quantitative studies in agricultural field research and breeding nurseries. This study investigated the extent to which a simplified spectral correction improves the precision and accuracy of early vigour assessments in winter wheat and winter barley genotypes based on the excess green vegetation Index (nExG) from a pairwise comparison of colour-corrected orthomosaics produced with two different RGB cameras. Two methods of spectral correction were compared, the empirical line method (ELM) and the spectral correction performed in a commercial photogrammetry software package (Pix4D Mapper). Both methods improved the accuracy, with the ELM spectral correction performing better than the Pix4D Mapper spectral correction. Despite high precision and improved accuracy after spectral correction, there were still statistically significant camera effects on vigour assessments because of the minute differences in nExG between genotypes. However, camera effects were evaluated as marginal and with little practical and agronomical relevance under field conditions and in breeding nurseries, as the minute differences between genotypes is overall difficult to reproduce in outdoor field experiments.
AB - Spectral correction of colour (RGB) cameras mounted on unmanned aerial vehicles (UAV) is considered important to produce accurate data for quantitative studies in agricultural field research and breeding nurseries. This study investigated the extent to which a simplified spectral correction improves the precision and accuracy of early vigour assessments in winter wheat and winter barley genotypes based on the excess green vegetation Index (nExG) from a pairwise comparison of colour-corrected orthomosaics produced with two different RGB cameras. Two methods of spectral correction were compared, the empirical line method (ELM) and the spectral correction performed in a commercial photogrammetry software package (Pix4D Mapper). Both methods improved the accuracy, with the ELM spectral correction performing better than the Pix4D Mapper spectral correction. Despite high precision and improved accuracy after spectral correction, there were still statistically significant camera effects on vigour assessments because of the minute differences in nExG between genotypes. However, camera effects were evaluated as marginal and with little practical and agronomical relevance under field conditions and in breeding nurseries, as the minute differences between genotypes is overall difficult to reproduce in outdoor field experiments.
KW - Accuracy
KW - Field experiments
KW - Phenotyping
KW - RGB camera
KW - Spectral correction
KW - UAV
U2 - 10.1016/j.fcr.2021.108177
DO - 10.1016/j.fcr.2021.108177
M3 - Journal article
AN - SCOPUS:85106453615
VL - 269
JO - Field Crops Research
JF - Field Crops Research
SN - 0378-4290
M1 - 108177
ER -
ID: 272714293