Sensors 2013, 13(2), 2117-2130; doi:10.3390/s130202117
Article

Huanglongbing (Citrus Greening) Detection Using Visible, Near Infrared and Thermal Imaging Techniques

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Received: 5 December 2012; in revised form: 26 January 2013 / Accepted: 30 January 2013 / Published: 6 February 2013
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.
Abstract: This study demonstrates the applicability of visible-near infrared and thermal imaging for detection of Huanglongbing (HLB) disease in citrus trees. Visible-near infrared (440–900 nm) and thermal infrared spectral reflectance data were collected from individual healthy and HLB-infected trees. Data analysis revealed that the average reflectance values of the healthy trees in the visible region were lower than those in the near infrared region, while the opposite was the case for HLB-infected trees. Moreover, 560 nm, 710 nm, and thermal band showed maximum class separability between healthy and HLB-infected groups among the evaluated visible-infrared bands. Similarly, analysis of several vegetation indices indicated that the normalized difference vegetation index (NDVI), Vogelmann red-edge index (VOG) and modified red-edge simple ratio (mSR) demonstrated good class separability between the two groups. Classification studies using average spectral reflectance values from the visible, near infrared, and thermal bands (13 spectral features) as input features indicated that an average overall classification accuracy of about 87%, with 89% specificity and 85% sensitivity could be achieved with classification models such as support vector machine for trees with symptomatic leaves.
Keywords: citrus disease; visible-near infrared imaging; thermal imaging; support vector machine
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MDPI and ACS Style

Sankaran, S.; Maja, J.M.; Buchanon, S.; Ehsani, R. Huanglongbing (Citrus Greening) Detection Using Visible, Near Infrared and Thermal Imaging Techniques. Sensors 2013, 13, 2117-2130.

AMA Style

Sankaran S, Maja JM, Buchanon S, Ehsani R. Huanglongbing (Citrus Greening) Detection Using Visible, Near Infrared and Thermal Imaging Techniques. Sensors. 2013; 13(2):2117-2130.

Chicago/Turabian Style

Sankaran, Sindhuja; Maja, Joe M.; Buchanon, Sherrie; Ehsani, Reza. 2013. "Huanglongbing (Citrus Greening) Detection Using Visible, Near Infrared and Thermal Imaging Techniques." Sensors 13, no. 2: 2117-2130.

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