Visible-near infrared spectroscopy based citrus greening detection: Evaluation of spectral feature extraction techniques

Crop Protection

Volumn 30, Issue 11, 2011, Pages 1508-1513

  Sankaran, Sindhuja ^a   Ehsani, Reza ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

Citrus greening; Feature extraction; Spectral band selection; Vegetation indices; Visible near infrared spectroscopy

Indexed keywords

ALGORITHM; BACTERIAL DISEASE; DETECTION METHOD; DISEASE CONTROL; DISEASE SPREAD; DISEASE VECTOR; FRUIT; IMAGE ANALYSIS; IMAGE CLASSIFICATION; INFRARED SPECTROSCOPY; INSECT; OPTICAL INSTRUMENT; REGRESSION ANALYSIS; SENSOR; SPECTRAL REFLECTANCE; VEGETATION INDEX;

CITRUS; HEXAPODA;

EID: 80052967922     PISSN: 02612194     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cropro.2011.07.005     Document Type: Article

References (29)

1. Balasundaram D., Burks T.F., Bulanon D.M., Schubert T., Lee W.S. Spectral reflectance characteristics of citrus canker and other peel conditions of grapefruit. Postharvest Biol. Technol. 2009, 51:220-226.
2. Belasque L., Gasparoto M.C.G., Marcassa L.G. Detection of mechanical and disease stresses in citrus plants by fluorescence spectroscopy. Appl. Opt. 2008, 47:1922-1926.
3. Carroll M.W., Glaser J.A., Hellmich R.L., Hunt T.E., Sappington T.W., Calvin D., Copenhaver K., Fridgen J. Use of spectral vegetation indices derived from airborne hyperspectral imagery for detection of European Corn Borer infestation in Iowa corn plots. J. Econ. Entomol. 2008, 101:1614-1623.
4. Devadas R., Lamb D.W., Simpfendorfer S., Backhouse D. Evaluating ten spectral vegetation indices for identifying rust infection in individual wheat leaves. Precis. Agric. 2009, 10:459-470.
5. Futch S., Weingarten S., Irey M. Determining HLB infection levels using multiple survey methods in Florida citrus. Proc. Fla. State Hortic. Soc. (FSHS) 2009, 122:152-158.
6. Gottwald T.R. Current epidemiological understanding of citrus Huanglongbing. Annu. Rev. Phytopathol 2010, 48:119-139.
7. Haboudane D., Miller J.R., Pattey E., Zarco-Tejadad P.J., Strachan I.B. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture. Remote Sens. Environ. 2004, 90:337-352.
8. Hawkins S.A., Park B., Poole G.H., Gottwald T., Windham W.R., Lawrence K.C. Detection of citrus Huanglongbing by Fourier Transform infrared-Attenuated total reflection (FTIR-ATR) spectroscopy. J. Appl. Spectrosc. 2010, 64:100-103.
9. Hawkins S.A., Park B., Poole G.H., Gottwald T., Windham W.R., Albano J., Lawrence K.C. Comparison of FTIR spectra between Huanglongbing (citrus greening) and other citrus maladies. J. Agric. Food Chem. 2010, 58:6007-6010.
10. Jiang Z., Huete A.R., Didan K., Miura T. Development of a two-band enhanced vegetation index without a blue band. Remote Sens. Environ. 2008, 112:3833-3845.
11. Lacava P.T., Li W.B., Araújo W.L., Azevedo J.L., Hartung J.S. Rapid, specific and quantitative assays for the detection of the endophytic bacterium Methylobacterium mesophilicum in plants. J. Microbiol. Methods 2006, 65:535-541.
12. Li W., Abad J.A., French-Monar R.D., Rascoe J., Wen A., Gudmestad N.C., Secor G.A., Lee I.M., Duan Y., Levy L. Multiplex real-time PCR for detection, identification and quantification of 'Candidatus Liberibacter solanacearum' in potato plants with zebra chip. J. Microbiol. Methods 2009, 78:59-65.
13. Li W., Hartung J.S., Levy L. Quantitative real-time PCR for detection and identification of Candidatus Liberibacter species associated with citrus Huanglongbing. J. Microbiol. Methods 2006, 66:104-115.
14. Manjunath K.L., Halbert S.E., Ramadugu C., Webb S., Lee R.F. Detection of 'Candidatus Liberibacter asiaticus' in Diaphorina citri and its importance in the management of citrus huanglongbing in Florida. Phytopathol 2008, 98:387-396.
15. Muraro R.P., Morris R.A. The Dynamics and Implications of Recent Increases In Citrus Production Costs. Fact sheet FE-793 2009, Florida Cooperative Extension Service, Institute of Flood and Agricultural Sciences, University of Florida.
16. Nagler P.L., Scott R.L., Westenburg C., Cleverly J.R., Glenn E.P., Huete A.R. Evapotranspiration on western U.S. rivers estimated using the Enhanced Vegetation Index from MODIS and data from eddy covariance and Bowen ratio flux towers. Remote Sens. Environ. 2005, 97:337-351.
17. 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. Comput. Electron. Agric. 2009, 66:38-45.
18. Polischuk V.P., Shadchina T.M., Kompanetz T.I., Budzanivskaya I.G., Boyko A.L., Sozinov A.A. Changes in reflectance spectrum characteristic of Nicotiana debneyi plant under the influence of viral infection. Archiv. Phytopathol. Plant Prot. 1997, 31:115-119.
19. Qin J., Burks T.F., Kim M.S., Chao K., Ritenour M.A. Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method. Sens. Instrum. Food Qual. Saf. 2008, 2:168-177.
20. Qin J., Burks T.F., Ritenour M.A., Bonn W.G. Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence. J. Food Eng. 2009, 93:183-191.
21. Sankaran S., Mishra A., Ehsani R., Davis C. A review of advanced techniques for detecting plant diseases. Comput. Electron. Agric. 2010, 72:1-13.
22. Sankaran S., Ehsani R., Etxeberria E. Mid-infrared spectroscopy for detection of Huanglongbing (greening) in citrus leaves. Talanta 2010, 83:574-581.
23. Sankaran S., Mishra A., Maja J.M., Ehsani R. Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards. Comput. Electron. Agric. 2011, 77:127-134.
24. Spann T.A., Atwood R.A., Dewdney M.M., Ebel R.C., Ehsani R., England G., Futch S.H., Gaver T., Hurner T., Oswalt C., Rogers M.E., Roka F.M., Ritenour M.A., Zekri M., Boman B.J., Chung K.-R., Danyluk M.D., Goodrich-Schneider R., Morgan K.T., Morris R.A., Muraro R.P., Roberts P., Rouse R.E., Schumann A.W., Stansly P.A., Stelinski L.L. IFAS guidance for Huanglongbing (greening) management. Publication no. HS1165 2010, Horticultural Sciences Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida.
25. Spinelli F., Noferini M., Costa G. Near infrared spectroscopy (NIRs): perspective of fire blight detection in asymptomatic plant material. Proceeding of 10th International Workshop on Fire Blight. Acta Hortic. 2006, 704:87-90.
26. Stenberg P., Rautiainen M., Manninen T., Voipio P., Smolander H. Reduced simple ratio better than NDVI for estimating LAI in Finnish pine and spruce stands. Silva Fenn. 2004, 38:3-14.
27. Teixeira D.C., Danet J.L., Eveillard S., Martins E.C., Junior W.C.J., Yamamoto P.T., Lopes S.A., Bassanezi R.B., Ayres A.J., Saillard C., Bové J.M. Citrus huanglongbing in São Paulo State, Brazil: PCR detection of the 'Candidatus' Liberibacter species associated with the disease. Mol. Cell. Probes 2005, 19:173-179.
28. Tatineni S., Sagaram U.S., Gowda S., Robertson C.J., Dawson W.O., Iwanami T., Wang N. In planta distribution of 'Candidatus Liberibacter asiaticus' as revealed by polymerase chain reaction (PCR) and real-time PCR. Phytopathology 2008, 98:592-599.
29. Zarco-Tejada P.J., Ustin S.L., Whiting M.L. Temporal and spatial relationships between within-field yield variability in cotton and high-spatial hyperspectral remote sensing imagery. Agron. J. 2005, 97:641-653.