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Erratum published on 6 July 2018, see Remote Sens. 2018, 10(7), 1081.

Open AccessArticle
Remote Sens. 2018, 10(6), 950;

Quantitative Estimation of Wheat Phenotyping Traits Using Ground and Aerial Imagery

Phenomics and Bioinformatics Research Centre, University of South Australia, Adelaide 5095, Australia
School of Agriculture, Food and Wine, University of Adelaide, Adelaide 5064, Australia
Author to whom correspondence should be addressed.
Received: 16 April 2018 / Revised: 28 May 2018 / Accepted: 12 June 2018 / Published: 14 June 2018
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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. View Full-Text
Keywords: unmanned aerial vehicle; mobile ground platform; canopy traits; canopy imaging; field phenotyping; wheat; height; vigour unmanned aerial vehicle; mobile ground platform; canopy traits; canopy imaging; field phenotyping; wheat; height; vigour

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Khan, Z.; Chopin, J.; Cai, J.; Eichi, V.-R.; Haefele, S.; Miklavcic, S.J. Quantitative Estimation of Wheat Phenotyping Traits Using Ground and Aerial Imagery. Remote Sens. 2018, 10, 950.

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