High resolution imaging of maize (Zea mays) leaf temperature in the field: the key role of the regions of interest
Taha Jerbi A , Nathalie Wuyts A B , Maria Angela Cane C , Philippe-François Faux A and Xavier Draye A D
+ Author Affiliations
- Author Affiliations
A Earth and Life Institute, Université catholique de Louvain, Croix du Sud 2 L7.05.11, 1348 Louvain-la-Neuve, Belgium.
B Present address: Department of Plant Systems Biology, Vlaams Instituut voor Biotechnologie, Technologie Park, 9000 Gent, Belgium.
C Di.S.T.A. Department of Agroenvironmental Sciences and Technologies, University of Bologna, Viale Fanin 44, 40127 Bologna, Italy.
D Corresponding author. Email: xavier.draye@uclouvain.be
Functional Plant Biology 42(9) 858-864 https://doi.org/10.1071/FP15024
Submitted: 22 February 2014 Accepted: 7 May 2015 Published: 15 June 2015
Abstract
The use of remote sensors (thermometers and cameras) to analyse crop water status in field conditions is fraught with several difficulties. In particular, average canopy temperature measurements are affected by the mixture of soil and green regions, the mutual shading of leaves and the variability of absorbed radiation. The aim of the study was to analyse how the selection of different ‘regions of interest’ (ROI) in canopy images affect the variability of the resulting temperature averages. Using automated image segmentation techniques we computed the average temperature in four nested ROI of decreasing size, from the whole image down to the sunlit fraction of a leaf located in the upper part of the canopy. The study was conducted on maize (Zea mays L.) at the flowering stage, for its large leaves and well structured canopy. Our results suggest that, under these conditions, the ROI comprising the sunlit fraction of a leaf located in the upper part of the canopy should be analogous to the single leaf approach (in controlled conditions) that allows the estimation of stomatal conductance or plant water potential.
Additional keywords: canopy, phenotyping, remote sensing, segmentation, thermography.
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