NDLI: Detection of downy mildew of opium poppy using high-resolution multi-spectral and thermal imagery acquired with an unmanned aerial vehicle

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Detection of downy mildew of opium poppy using high-resolution multi-spectral and thermal imagery acquired with an unmanned aerial vehicle

Content Provider	Springer Nature Link
Author	Calderón, R. Montes Borrego, M. Landa, B. B. Navas Cortés, J. A. Zarco Tejada, P. J.
Copyright Year	2014
Abstract	Downy mildew (DM) caused by the biotrophic obligate oomycete Peronospora arborescens (Berk.) is one of the most economically limiting diseases of opium poppy (Papaver somniferum L.) worldwide. The first symptoms appear as small chlorotic leaf lesions, which can evolve to curled and thickened tissues that become deformed and necrotic as the disease develops. The present study explored the use of high-resolution thermal and multi-spectral imagery as an indicator of DM infection. Work was conducted in two opium poppy field plots artificially infected by P. arborescens. Airborne thermal and multi-spectral imagery were acquired at 200 mm resolution on three dates in spring of 2009 using an unmanned aerial vehicle (UAV). Leaf reflectance and transmittance spectra of DM asymptomatic and symptomatic opium poppy leaves were measured using an integrating sphere. Simulation work was conducted with the coupled PROSPECT + SAILH radiative transfer model to assess the effects of the variability found in an opium poppy plot developing a DM epidemic on the normalized difference vegetation index (NDVI) and the green/red index (R$_{550}$/R$_{670}$) calculated from the multi-spectral imagery. The airborne flights enabled DM detection by using image-derived canopy temperature (Tc) normalized by air temperature (Tc − Ta) and the green/red index (R$_{550}$/R$_{670}$). T$_{min}$ for each grid unit was calculated to estimate pure-vegetation temperature removing background and soil effects. T$_{min}$ − Ta and R$_{550}$/R$_{670}$ were assessed as a function of aggregated NDVI clusters to compare asymptomatic and symptomatic plants normalized by similar growth levels. Results demonstrated that Tc − Ta and the R$_{550}$/R$_{670}$ index were related to physiological stress caused by DM infection. In addition, T$_{min}$ − Ta was found to decrease as the NDVI increased and symptomatic plants reached significantly higher (P < 0.05) temperatures for an NDVI ≥0.6. The R$_{550}$/R$_{670}$ index was positively correlated with the NDVI, showing significantly higher values (P < 0.05) in symptomatic plants with an NDVI ≥0.5. These results demonstrate the feasibility of detecting P. arborescens infection in opium poppy plants using high-resolution thermal and multi-spectral imagery acquired with an UAV.
Starting Page	639
Ending Page	661
Page Count	23
File Format	PDF
ISSN	13852256
Journal	Precision Agriculture
Volume Number	15
Issue Number	6
e-ISSN	15731618
Language	English
Publisher	Springer US
Publisher Date	2014-04-23
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Thermal Multi-spectral High resolution UAV Opium poppy Downy mildew Peronospora arborescens Agriculture Soil Science & Conservation Remote Sensing/Photogrammetry Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Atmospheric Sciences
Content Type	Text
Resource Type	Article
Subject	Agricultural and Biological Sciences

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