Detecting Wheat Powdery Mildew and Predicting Grain Yield Using Unmanned Aerial Photography

A - Papers appearing in refereed journals

Liu, W., Cao, X., Fan, J, Wang, Z., Yan, Z., Luo, Y., West, J. S., Xu, X. and Zhou, Y. 2018. Detecting Wheat Powdery Mildew and Predicting Grain Yield Using Unmanned Aerial Photography. Plant Disease. 102, pp. 1981-1988.

AuthorsLiu, W., Cao, X., Fan, J, Wang, Z., Yan, Z., Luo, Y., West, J. S., Xu, X. and Zhou, Y.
Abstract

High-resolution aerial imaging with an unmanned aerial vehicle (UAV) was used to quantify wheat powdery mildew and estimate grain yield. Aerial digital images were acquired at Feekes growth stage (GS) 10.5.4 from flight altitudes of 200 m, 300 m and 400 m during the 2009-2010 and 2010-2011 seasons; and 50 m, 100 m, 200 m and 300 m during the 2011-2012, 2012-2013 and 2013-2014 seasons. The image parameter lgR was consistently correlated positively with wheat powdery mildew severity and wheat grain yield for all combinations of flight altitude and year. Fitting the data with random coefficient regression models showed that the exact relationship of lgR with disease severity and grain yield varied considerably from year to year and to a lesser extent with flight altitude within the same year. The present results raise an important question about the consistency of using remote imaging information to estimate disease severity and grain yield. Further research is needed to understand the nature of inter-year variability in the relationship of remote imaging data with disease or grain yield. Only then can we determine how the remote imaging tool can be used in commercial agriculture.

Year of Publication2018
JournalPlant Disease
Journal citation102, pp. 1981-1988
Digital Object Identifier (DOI)doi:10.1094/PDIS-12-17-1893-RE
Web address (URL)https://apsjournals.apsnet.org/doi/10.1094/PDIS-12-17-1893-RE
Open accessPublished as ‘gold’ (paid) open access
Funder project or codePathogen surveillance and monitoring
FunderBBSRC Industrial Strategy Challenge
Publisher's version
Output statusPublished
Publication dates
Online20 Aug 2018
Publication process dates
Accepted11 Apr 2018
PublisherAmerican Phytopathological Society (APS)
Copyright licenseCC BY
ISSN0191-2917

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