Identification of Citrus Huanglongbing Disease at the Pre-Symptomatic Stage Using Polarized Imaging Technique

IFAC-PapersOnLine

Volumn 49, Issue 16, 2016, Pages 110-115

  Pourreza, Alireza ^a   Lee, Won Suk ^b   Etxeberria, Ed ^c   Zhang, Yao ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b University of Florida   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

^d BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Citrus greening; Disease diagnosis; Image analysis; Polarization; Sensing; Starch

Indexed keywords

BACTERIA; DIAGNOSIS; FORESTRY; IMAGING TECHNIQUES; PLANTS (BOTANY); POLARIZATION; STARCH;

CITRUS GREENING; CITRUS INDUSTRIES; DISEASE DIAGNOSIS; HUANGLONGBING(HLB); IMAGE ANALYSIS ALGORITHMS; SENSING; STARCH ACCUMULATION; TIME LAPSE IMAGES;

IMAGE ANALYSIS;

EID: 84994744904     PISSN: None     EISSN: 24058963     Source Type: Conference Proceeding    
DOI: 10.1016/j.ifacol.2016.10.021     Document Type: Conference Paper

References (17)

1. BLUE, R., ROISTACHER, C. & CARTIA, G. Leaf-disc grafting-A rapid indexing method for detection of some citrus viruses. In (EC Calavan, editor). Proc. 7th Conf. Inter. Organization Citrus Virol., Univ. California Press, Riverside, 1976. 207-212.
2. HARTMANN, H.T., KESTER, D.E., Plant propagation: principles and practices, 1975, Prentice-Hall.
3. HODGES, A. W. & SPREEN, T. H. 2012. Economic impacts of citrus greening (HLB) in Florida, 2006/07– 2010/11. Food and Resource Economics Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida, Gainesville.
4. KEREMANE, M.L., RAMADUGU, C., RODRIGUEZ, E., KUBOTA, R., SHIBATA, S., HALL, D.G., ROOSE, M.L., JENKINS, D., LEE, R.F., A rapid field detection system for citrus Huanglongbing associated ‘Candidatus Liberibacter asiaticus’ from the psyllid vector, Diaphorina citri Kuwayama and its implications in disease management. Crop Protection, 68 (2015), 41–48.
5. LI, X., LEE, W.S., LI, M., EHSANI, R., MISHRA, A.R., YANG, C., MANGAN, R.L., Feasibility study on Huanglongbing (citrus greening) detection based on WorldView-2 satellite imagery. Biosystems Engineering, 132 (2015), 28–38.
6. MCMAHON, K.A., Practical botany - the Maltese cross. Tested Studies for Laboratory Teaching, 25 (2004), 352–357.
7. NATIONAL RESEARCH COUNCIL, Strategic Planning for the Florida Citrus Industry: Addressing Citrus Greening Disease, 2010, National Academies Press, Washington, DC.
8. NEUPANE, D., MOSS, C. B. & VAN BRUGGEN, A. H. 2016. Estimating Citrus Production Loss due to Citrus Huanglongbing in Florida.
9. POURREZA, A., LEE, W. S., RAVEH, E., HONG, Y. & KIM, H.-J. 2013. Identification of citrus greening disease using a visible band image analysis. ASABE Annual International Meeting. Kansas City, Missouri: ASABE.
10. POURREZA, A. & LEE, W. S. 2014. Effect Of Starch Accumulation In Huanglongbing Symptomatic Leaves On Reflecting Polarized Light. 12th ICPA International Conference. Sacramento, California, USA.
11. POURREZA, A., LEE, W. S. & EHSANI, R. 2014a. A Vision Based Sensor for Huanglongbing Disease Detection under a Simulated Field Condition. ASABE Annual Meeting. Montreal, Quebec, Canada.
12. POURREZA, A., LEE, W. S. & ETXEBERRIA, E. 2014b. Rapid in-field diagnosis of Huanglongbing disease using computer vision. 127th Florida State Horticultural Society Annual Meeting. Clearwater, Florida, USA.
13. POURREZA, A., LEE, W.S., RAVEH, E., EHSANI, R., ETXEBERRIA, E., Citrus Huanglongbing detection using narrow-band imaging and polarized illumination. Trans. ASABE 57 (2014), 259–272.
14. POURREZA, A., LEE, W.S., EHSANI, R., SCHUELLER, J.K., RAVEH, E., An optimum method for real-time in-field detection of Huanglongbing disease using a vision sensor. Computers and Electronics in Agriculture, 110 (2015), 221–232.
15. POURREZA, A., LEE, W.S., ETXEBERRIA, E., BANERJEE, A., An evaluation of a vision-based sensor performance in Huanglongbing disease identification. Biosystems Engineering, 130 (2015), 13–22.
16. WETTERICH, C.B., DE OLIVEIRA NEVES, R.F., BELASQUE, J., MARCASSA, L.G., Detection of citrus canker and Huanglongbing using fluorescence imaging spectroscopy and support vector machine technique. Applied Optics, 55 (2016), 400–407.
17. WU, X., MENG, C., WANG, G., LIU, Y., ZHANG, X., YI, K. & PENG, J. 2016. Rapid and quantitative detection of Citrus huanglongbing bacterium ‘Candidatus Liberibacter asiaticus’ by real-time fluorescent loop-mediated isothermal amplification assay in China. Physiological and Molecular Plant Pathology.