Nondestructive diagnostics of nitrogen deficiency by cucumber leaf chlorophyll distribution map based on near infrared hyperspectral imaging

Scientia Horticulturae

Volumn 138, Issue , 2012, Pages 190-197

  Ji Yong, Shi ^a   Xiao Bo, Zou ^a   Jie Wen, Zhao ^a   Kai Liang, Wang ^a   Zheng Wei, Chen ^a   Xiao Wei, Huang ^a   De Tao, Zhang ^a   Holmes, Mel ^b  

^a JIANGSU UNIVERSITY   (China)

^b UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Chlorophyll; Cucumber; Hyperspectral imaging; Nitrogen deficiency

Indexed keywords

CALIBRATION; CHLOROPHYLL; CONCENTRATION (COMPOSITION); FRUIT; IMAGING METHOD; LEAF; LIQUID CHROMATOGRAPHY; NEAR INFRARED; NITROGEN; PRINCIPAL COMPONENT ANALYSIS;

CUCUMIS SATIVUS;

EID: 84858387167     PISSN: 03044238     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scienta.2012.02.024     Document Type: Article

References (36)

1. Antonelli A., Cocchi M., Fava P., Foca G., Franchini C.G., Manzini D., Ulrici A. Automated evaluation of food colour by means of multivariate image analysis coupled to a wavelet-based classification algorithm. Anal. Chim. Acta 2004, 515:3-13.
2. Boussadia O., Steppe K., Zgallai H., El Hadj S.B., Braham M., Lemeur R., Van Labeke M.C. Effects of nitrogen deficiency on leaf photosynthesis, carbohydrate status and biomass production in two olive cultivars 'Meski' and 'Koroneiki'. Sci. Hortic. Amsterdam 2010, 123:336-342.
3. Bronson K.F., Booker J.D., Bordovsky J.P., Keeling J.W., Wheeler T.A., Boman R.K., Parajulee M.N., Segarra E., Nichols R.L. Site-specific irrigation and nitrogen management for cotton production in the Southern High Plains. Agron. J. 2006, 98:212-219.
4. Bronson K.F., Booker J.D., Keeling J.W., Boman R.K., Wheeler T.A., Lascano R.J., Nichols R.L. Cotton canopy reflectance at landscape scale as affected by nitrogen fertilization. Agron. J. 2005, 97:654-660.
5. Cartelat A., Cerovica Z.G., Goulasa Y., Meyera S., Lelargeb C., Prioulb J.L., Barbottinc A., Jeuffroyc M.H., Gated P., Agatie G., Moya I. Optically assessed contents of leaf polyphenolics and chlorophyll as indicators of nitrogen deficiency in wheat. Field Crop Res. 2005, 91:35-49.
6. Cen H., Lu R. Optimization of the hyperspectral imaging-based spatially-resolved system for measuring the optical properties of biological materials. Opt. Express 2010, 18:17412-17432.
7. Chang S.X., Robison D.J. Nondestructive and rapid estimation of hardwood foliar nitrogen status using the SPAD-502 chlorophyll meter. Forest Ecol. Manage. 2003, 181:331-338.
8. Debouba M., Ghorbel M.H., Gouia H. Effects of NaCl and nitrogen deficiency en azote on chlorophyll fluorescence of PSII in tomato (Solanum, lycopersicon, Chibli F1). Acta Bot. Gallica 2007, 154:635-642.
9. Del Fiore A., Reverberi M., Ricelli A., Pinzari F., Serranti S., Fabbri A.A., Bonifazi G., Fanelli C. Early detection of toxigenic fungi on maize by hyperspectral imaging analysis. Int. J. Food Microbiol. 2010, 144:64-71.
10. Dua P.J., Tana K., Su H.J. Feature extraction for target identification and image classification of OMIS hyperspectral image. Mining Sci. Technol. 2009, 19:835-841.
11. Gaston E., Frias J.M., Cullen P.J., O'Donnell C.P., Gowenb A.A. Visible-near infrared hyperspectral imaging for the identification and discrimination of brown blotch disease on mushroom (Agaricus bisporus) caps. J. Near Infrared Spectrosc. 2010, 18:341-353.
12. Grattana S.R., Grieve C.M. Salinity-mineral nutrient relations in horticultural crops. Sci. Hortic. Amsterdam 1999, 78:127-157.
13. Huang S.C., Hung C.F., Wu W.B., Chen B.H. Determination of chlorophylls and their derivatives in Gynostemma pentaphyllum Makino by liquid chromatography-mass spectrometry. J. Pharm. Biomed. 2008, 48:105-112.
14. Humphries E.C. Modern methods of plant analysis. Mineral Composition and Ash Analysis 1956, 468-502. Springer-Verlag, Berlin. K. Peach, M.V. Tracey (Eds.).
15. Kamnev A.A., Sadovnikova Y.N., Antonyuk L.P. Effects of nitrogen deficiency and wheat lectin on the composition and structure of some biopolymers of Azospirillum brasilense Sp245. Microbiology 2008, 77:240-242.
16. Kumagai E., Araki T., Ueno O. Effect of nitrogen-deficiency on midday photoinhibition in flag leaves of different rice (Oryza sativa L.) cultivars. Photosynthetica 2009, 47:241-246.
17. Li J.W., Yang J.P., Fei P.P., Song J.L., Li D.S., Ge C.S., Chen W.Y. Responses of rice leaf thickness, SPAD readings and chlorophyll a/b ratios to different nitrogen supply rates in paddy field. Field Crop Res. 2009, 114:426-432.
18. Lu R.F., Peng Y.K. Hyperspectral scattering for assessing peach fruit firmness. Biosyst. Eng. 2006, 93:161-171.
19. Marian W., Gabriel F., Krystyna Z., Elzbieta S. Early diagnostics of macronutrient deficiencies in three legume species by color image analysis. Comput. Electron. Agric. 2009, 65:125-132.
20. Moberg L., Robertsson G., Karlberg B. Spectrofluorimetric determination of chlorophylls and pheopigments using parallel factor analysis. Talanta 2001, 54:161-170.
21. Moran J.A., Mitchell A.K., Goodmanson G., Stockburger K.A. Differentiation among effects of nitrogen fertilization treatments on conifer seedlings by foliar reflectance: a comparison of methods. Tree Physiol. 2000, 20:1113-1120.
22. Netto A.T., Campostrini E., Oliveira J.G.D., Bressan-Smith R.E. Photosynthetic pigments, nitrogen, chlorophyll a fluorescence and SPAD-502 readings in coffee leaves. Sci. Hortic. Amsterdam 2005, 104:199-209.
23. Peng Y.K., Lu R.F. Analysis of spatially resolved hyperspectral scattering images for assessing apple fruit firmness and soluble solids content. Postharvest Biol. Technol. 2008, 48:52-62.
24. Peng Y., Gitelson A.A. Application of chlorophyll-related vegetation indices for remote estimation of maize productivity. Agric. Forest Meteorol. 2011, 151:1267-1276.
25. Peng Y., Gitelson A.A., Keydan G., Rundquist D.C., Moses W. Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content. Remote Sens. Environ. 2011, 115:978-989.
26. Qin J.W., Burks T.F., Kim M.S., Chao K.L., Ritenour M.A. Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method. Sens. Instrum. Food Qual. 2008, 2:168-177.
27. Shaahan M.M., El-Sayed A.A., Abou El-Nour E.A.A. Predicting nitrogen, magnesium and iron nutritional status in some perennial crops using a portable chlorophyll meter. Sci. Hortic. Amsterdam 1999, 82:339-348.
28. Sims D.A., Gamon J.A. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens. Environ. 2002, 81:337-354.
29. Staenz K., Secker J., Gao B.C., Davis C., Nadeau C. Radiative transfer codes applied to hyperspectral data for the retrieval of surface reflectance. ISPRS J. Photogramm. 2002, 57:194-203.
30. Suzuki Y., Tanabe K., Shioi Y. Determination of chemical oxidation products of chlorophyll and porphyrin by high-performance liquid chromatography. J. Chromatogr. A 1999, 839:85-91.
31. Thumm A., Riddell M., Nanayakkara B., Harrington J., Meder R. Near infrared hyperspectral imaging applied to mapping chemical composition in wood samples. J. Near Infrared Spectrosc. 2010, 18:507-515.
32. Vogt F., Tacke M. Fast principal component analysis of large data sets. Chemometr. Intell. Lab. 2001, 59:1-18.
33. Zhao J.W., Wang K.L., Ouyang Q., Chen Q. Measurement of chlorophyll content and distribution in tea plant's leaf using hyperspectral imaging technique. Spectrosc. Spect. Anal. 2011, 31:512-515.
34. Zimba P.V., Gitelson A. Remote estimation of chlorophyll concentration in hyper-eutrophic aquatic systems: model tuning and accuracy optimization. Aquaculture 2006, 256:272-286.
35. Zou X.B., Zhao J.W., Holmes M., Mao H.P., Shi J.Y., Yin X.P., Li Y.X. Independent component analysis in information extraction from visible/near-infrared hyperspectral imaging data of cucumber leaves. Chemometr. Intell. Lab. 2010, 104:265-270.
36. Zou X.B., Zhao J.W., Mao H.P., Shi J.Y., Yin X.P., Li Y.X. Genetic algorithm interval partial least squares regression combined successive projections algorithm for variable selection in near-infrared quantitative analysis of pigment in cucumber leaves. Appl. Spectrosc. 2010, 64:786-794.