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Type: Journal article
Title: Quantitative estimation of wheat phenotyping traits using ground and aerial imagery
Author: Khan, Z.
Chopin, J.
Cai, J.
Eichi, V.
Haefele, S.
Miklavcic, S.
Citation: Remote Sensing, 2018; 10(6):950-1-950-19
Publisher: MDPI AG
Issue Date: 2018
ISSN: 2072-4292
Statement of
Zohaib Khan, Joshua Chopin, Jinhai Cai, Vahid-Rahimi Eichi and Stephan Haefele and Stanley J. Miklavcic
Abstract: This study evaluates an aerial and ground imaging platform for assessment of canopy development in a wheat field. The dependence of two canopy traits, height and vigour, on fertilizer treatment was observed in a field trial comprised of ten varieties of spring wheat. A custom-built mobile ground platform (MGP) and an unmanned aerial vehicle (UAV) were deployed at the experimental site for standard red, green and blue (RGB) image collection on five occasions. Meanwhile, reference field measurements of canopy height and vigour were manually recorded during the growing season. Canopy level estimates of height and vigour for each variety and treatment were computed by image analysis. The agreement between estimates from each platform and reference measurements was statistically analysed. Estimates of canopy height derived from MGP imagery were more accurate (RMSE = 3.95 cm, R² = 0.94) than estimates derived from UAV imagery (RMSE = 6.64 cm, R² = 0.85). In contrast, vigour was better estimated using the UAV imagery (RMSE = 0.057, R² = 0.57), compared to MGP imagery (RMSE = 0.063, R² = 0.42), albeit with a significant fixed and proportional bias. The ability of the platforms to capture differential development of traits as a function of fertilizer treatment was also investigated. Both imaging methodologies observed a higher median canopy height of treated plots compared with untreated plots throughout the season, and a greater median vigour of treated plots compared with untreated plots exhibited in the early growth stages. While the UAV imaging provides a high-throughput method for canopy-level trait determination, the MGP imaging captures subtle canopy structures, potentially useful for fine-grained analyses of plants.
Keywords: Unmanned aerial vehicle; mobile ground platform; canopy traits; canopy imaging; field phenotyping; wheat; height; vigour
Description: Published: 14 June 2018
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
DOI: 10.3390/rs10060950
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Appears in Collections:Agriculture, Food and Wine publications
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