Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees

Computers and Electronics in Agriculture

Volumn 91, Issue , 2013, Pages 106-115

  Garcia Ruiz, Francisco ^a   Sankaran, Sindhuja ^b   Maja, Joe Mari ^b   Lee, Won Suk ^c   Rasmussen, Jesper ^a   Ehsani, Reza ^b  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b UNIVERSITY OF FLORIDA   (United States)

^c University of Florida   (United States)

Author keywords

Citrus disease; Classification; Support vector machine; Unmanned aerial vehicle

Indexed keywords

AIRCRAFT; CLASSIFICATION (OF INFORMATION); DISCRIMINANT ANALYSIS; FORESTRY; IMAGE RESOLUTION; IMAGE RETRIEVAL; REMOTE SENSING; SPECTROSCOPY; SUPPORT VECTOR MACHINES; UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

AERIAL IMAGES; AERIAL IMAGING; CITRUS GREENING; CITRUS TREE; CLASSIFICATION ALGORITHM; CRITICAL STEPS; DETECTION AND DIAGNOSIS; FALSE NEGATIVES; FLORIDA; HIGH RESOLUTION; HUANGLONGBING; IMAGING SENSORS; INDEX VALUES; LINEAR DISCRIMINANT ANALYSIS; LOW-ALTITUDE; MULTIBAND; QUADRATIC DISCRIMINANT ANALYSIS; SPATIAL RESOLUTION; SPECTRAL BAND; SPECTRAL IMAGES; STEPWISE REGRESSION ANALYSIS; VEGETATION INDEX;

DIAGNOSIS;

AERIAL PHOTOGRAPHY; COMPARATIVE STUDY; CROP YIELD; DISEASE TREATMENT; IMAGE ANALYSIS; INFECTIOUS DISEASE; PERFORMANCE ASSESSMENT; REGRESSION ANALYSIS; REMOTE SENSING; SPATIAL RESOLUTION; TREE; VEGETATION INDEX;

AIR CRAFT; CLASSIFICATION; DISEASES; FORESTRY; IMAGE ANALYSIS; REMOTE SENSING;

FLORIDA [UNITED STATES]; UNITED STATES;

CITRUS;

EID: 84872461875     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2012.12.002     Document Type: Article

References (33)

1. Balasundaram D., Burks T., Bulanon D., Schubert T., Lee W. Spectral reflectance characteristics of citrus canker and other peel conditions of grapefruit. Postharvest Biology and Technology 2009, 51(2):220-226.
2. Berni, J.A.J., Zarco-Tejada, P.J, Suárez, L., González-Dugo, V., Fereresa, E., 2008. Remote sensing of vegetation from uav platforms using lightweight multispectral and thermal imaging sensors. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII.
3. Berni J.A.J., Zarco-Tejada P.J., Sepulcre-Cantó G., Fereres E., Villalobos F. Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sensing of Environment 2009, 113(11):2380-2388.
4. Berni J.A.J., Zarco-Tejada P.J., Suárez L., Fereres E. Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Transactions on Geoscience and Remote Sensing 2009, 47(3):722-738.
5. Buitendag, C.H., von Broembsen, L.A., 1993. Living with citrus greening in South Africa. In: Moreno, P., daGraça, J.V., Timmer, L.W. (Eds.), Proceedings of the Twelfth Conference of the International Organization of Citrus Virologists, pp. 269-273.
6. Chung, K.R., Brlansky, R.H., 2009. Citrus diseases exotic to Florida: Huanglongbing (citrus greening). Fact sheet PP-210. Gainesville, Fla.: University of Florida IFAS, Florida Cooperative Extension Service.
7. Delalieux S., Vanaardt J., Keulemans W., Schrevens E., Coppin P. Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implications. European Journal of Agronomy 2007, 27(1):130-143.
8. Fernandez-Quintanilla, C., Dorado, J., Ribeiro, A., Gonzalez De Santos, P., 2011. RHEA: un proyecto europeo para el desarrollo de una flota de robots para el control de malas hierbas. In: Actas del XIII Congreso de la Sociedad Española de Malherbología, La Laguna, Spain, November 2011.
9. Futch, S., Weingarten, S., Irey, M., 2009. Determining HLB infection levels using multiple survey methods in Florida citrus. In: Proceedings Florida State Horticultural Society (FSHS), 122, pp. 152-158.
10. Gottwald T.R. Current epidemiological understanding of citrus Huanglongbing. Annual Review of Phytopathology 2010, 48:119-139.
11. Halbert S.E., Manjunath K.L. Asian citrus psyllids (Sternorrhyncha: Psyllidae) and greening disease of citrus: a Literature review and assesment of risk in Florida. Florida Entomologist 2004, 87(3):330-353.
12. Hansen A.K., Trumble J.T., Stouthamer R., Paine T.D. New Huanglongbing (Hlb) Candidatus species, " C. Liberibacter psyllaurous" , found to infect tomato and potato is vectored by the psyllid Bactericerca cockerelli (Sulc). Applied and Environmental Microbiology 2008, 74(18):5862-5865.
13. Kazmi, W., Bisgaard, M., Garcia-Ruiz, F., Hansen, K.D., La Cour-Harbo, A., 2011. Adaptive Surveying and Early Treatment of Crops with a Team of Autonomous Vehicles. In: Proceedings of the 5th European Conference on Mobile Robots ECMR 2011, 7-9th September, 2011, örebro, Sweden, pp. 1-6.
14. Kumar A., Lee W.S., Ehsani R., Albrigo L.G., Yang C. Citrus greening disease detection using aerial hyperspectral and multispectral imaging techniques. Journal of Applied Remote Sensing 2012, 6:063542. 10.1117/1.JRS.6.063542.
15. Li X., Lee Won Suk, Li M., Ehsani R., Mishra A.R., Yang C., Mangan R.L. Spectral difference analysis and airborne imaging classification for citrus greening infected trees. Computers and Electronics in Agriculture 2012, 83:32-46.
16. Mishra A., Karimi D., Ehsani R., Albrigo L.G. Evaluation of an active optical sensor for detection of Huanglongbing (HLB) disease. Biosystems Engineering 2011, 110(3):302-309.
17. Muraro, R.P., Morris, R.A., 2009. The dynamics and implications of recent increases in citrus production costs. EDIS document FE793. Gainesville, Fla.: University of Florida IFAS, Florida Cooperative Extension Service.
18. Naidu R.A., Perry E.M., Pierce F.J., Mekuria T. The potential of spectral reflectance technique for the detection of Grapevine leafroll-associated virus-3 in two red-berried wine grape cultivars. Computers and Electronics in Agriculture 2009, 66(1):38-45.
19. Ranson K., Daughtry C. Scene Shadow Effects on Multispectral Response. IEEE Transactions on Geoscience and Remote Sensing 1987, GE-25(4):502-509.
20. Sankaran S., Mishra A.R., Ehsani R., Davis C. A review of advanced techniques for detecting plant diseases. Computers and Electronics in Agriculture 2010, 72(1):1-13.
21. Sankaran S., Ehsani R. Visible-near infrared spectroscopy based citrus greening detection: evaluation of spectral feature extraction techniques. Crop Protection 2011, 30(11):1508-1513.
22. Sankaran S., Mishra A.R., Maja J.M., Ehsani R. Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards. Computers and Electronics in Agriculture 2011, 77(2):127-134.
23. Sankaran, S., Maja, J.M., Buchanon, S., Ehsani, R., in preparation. Huanglongbing (citrus greening) detection using visible-near infrared and thermal imaging techniques.
24. Sepulcre-Cantó G., Zarco-Tejada P.J., Jiménez-Muñoz J.C., Sobrino J.A., Miguel E.D., Villalobos F.J. Detection of water stress in an olive orchard with thermal remote sensing imagery. Agricultural and Forest Meteorology 2006, 136(1-2):31-44.
25. Spreen, T.H., Barber, R.E., Brown, M.G., Hodges, A.W., Malugen, J.C., Mulkey, W.D., Muraro, R.P., Norberg, R.P., Rahmani, M., Roka, F.M., Rouse, R.E., 2006. An economic assessment of the future prospects for the Florida Citrus Industry. In: Presentation to the Special Industry Task Force, Florida Department of Citrus, Lakeland, FL, March 2006. Also presented to the Board of Directors, Indian River Citrus League, Vero Beach, FL, April 2006. (accessed 23.04.12.). http://www.fred.ifas.ufl.edu/floridajuice/pubs/EconAssessment.pdf.
26. Suárez L., Zarco-Tejada P.J., González-Dugo V., Berni J.A.J., Sagardoy R., Morales F., Fereres E. Detecting water stress effects on fruit quality in orchards with time-series PRI airborne imagery. Remote Sensing of Environment 2010, 114(2):286-298.
27. Swain K.C., Jayasuriya H., Thomson S. Adoption of an unmanned helicopter for low-altitude remote sensing to estimate yield and total biomass of a rice crop. Transactions of the ASABE 2010, 53(1):21-27.
28. USDA, 2011a. 2011 Commercial Citrus Inventory Preliminary Report. National Agricultural Statistics Service. (accessed 23.04.12). http://www.nass.usda.gov/Statistics_by_State/Florida/Publications/Citrus/ccipre/ccipr11.pdf.
29. USDA, 2011b. 2010-2011 Citrus Summary Production, Price and Value Production by County and Per Tree. National Agricultural Statistics Service. (accessed 23.04.12). http://www.nass.usda.gov/Statistics_by_State/Florida/Publications/Citrus/cspre/cit92211.pdf.
30. West J.S., Bravo C., Oberti R., Lemaire D., Moshou D., Mccartney H.A. The potential of optical canopy measurement for targeted control of field crop diseases. Annual Review of Phytopathology 2003, 41:593-614.
31. Zarco-Tejada, P.J., 2011. High resolution hyperspectral and thermal remote sensing from UAV platforms for stress detection and vegetation monitoring. In: Remote Sensing Photogrammetry Society (RSPSoc) and National Center for Earth Observation (NERC) Technology Cluster UAV Workshop, 7-8th July, 2011, Durham, UK.
32. Zarco-Tejada P.J., González-Dugo V., Berni J.A.J. Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. Remote Sensing of Environment 2012, 117:322-337.
33. Zhang M., Qin Z., Liu X. Remote sensed spectral imagery to detect late blight in field tomatoes. Precision Agriculture 2005, 6(6):489-508.