Nondestructive quantification of foliar chlorophyll in an apple orchard by visible/near-infrared reflectance spectroscopy and partial least squares

Spectroscopy Letters

Volumn 47, Issue 6, 2014, Pages 481-487

  Guo, Zhiming ^a,b   Zhao, Chunjiang ^a   Huang, Wenqian ^a   Wang, Yan'An ^c   Guo, Jianhua ^a  

^a National Engineering Research Center of Intelligent Equipment for Agriculture   (China)

^b CHINA AGRICULTURAL UNIVERSITY   (China)

^c SHANDONG AGRICULTURAL UNIVERSITY   (China)

Author keywords

apple orchard; backward interval partial least squares; chlorophyll content; genetic algorithms; visible near infrared spectroscopy

Indexed keywords

EID: 84897510745     PISSN: 00387010     EISSN: 15322289     Source Type: Journal    
DOI: 10.1080/00387010.2013.816748     Document Type: Article

References (22)

1. Liu, M.;, Liu, X.;, Li, M.;, Fang, M.; Chi W. Neural-network model for estimating leaf chlorophyll concentration in rice under stress from heavy metals using four spectral indices. Biosyst. Eng. 2010, 106, 223-233.
2. Albrechtová, J.;, Seidl, Z.;, Aitkenhead-Peterson, J.;, Lhotáková, Z.;, Rock, B. N.;, Alexander, J. E.;, Malenovský, Z.;, McDowell, W. H. Spectral analysis of coniferous foliage and possible links to soil chemistry: are spectral chlorophyll indices related to forest floor dissolved organic C and N. Sci. Total Environ. 2008, 404, 424-432.
3. Gitelson, A. A.;, Gritz, Y.;, Merzlyak, M. N. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. J. Plant Physiol. 2003, 160, 271-282.
4. Li, X.;, Lee, W. S.;, Li, M.;, Ehsani, R.;, Mishra, A. R.;, Yang, C.;, Mangan, R. L. Spectral difference analysis and airborne imaging classification for citrus greening infected trees. Comput. Electron. Agric. 2012, 83, 32-46.
5. Perry, E. M.;, Davenport, J. R. Spectral and spatial differences in response of vegetation indices to nitrogen treatments on apple. Comput. Electron. Agric. 2007, 59, 56-65.
6. Barry, K. M.;, Newnham, G. J.;, Stone, C. Estimation of chlorophyll content in Eucalyptus globulus foliage with the leaf reflectance model PROSPECT. Agric. Forest Meteorol. 2009, 149, 1209-1213.
7. Menesatti, P.;, Antonucci, F.;, Pallottino, F.;, Roccuzzo, G.;, Allegra, M.;, Stagno, F.;, Intrigliolo, F. Estimation of plant nutritional status by Vis-NIR spectrophotometric analysis on orange leaves [Citrus sinensis (L) Osbeck cv Tarocco]. Biosyst. Eng. 2010, 105, 448-454.
8. Omar, A. F.;, Atan, H.;, MatJafri, M. Z. Peak response identification through near-infrared spectroscopy analysis on aqueous sucrose, glucose, and fructose solution. Spectrosc. Lett. 2012, 45 (3), 190-201.
9. Ruiz-Altisent, M.;, Ruiz-Garcia, L., Moreda, G. P.;, Lu, R.;, Hernandez-Sanchez, N.;, Correa, E. C.;, Diezma, B.;, Nicolai, B.;, Garcia-Ramos, J. Sensors for product characterization and quality of specialty crops-a review. Comput. Electron. Agric. 2010, 74, 176-194.
10. Sankaran, S.;, Mishra, A.;, Maja, J. M.;, Ehsani, R. Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards. Comput. Electron. Agric. 2012, 77, 127-134.
11. 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.
12. Zou, X.;, Shi, J.;, Hao, L.;, Zhao, J.;, Mao, H.;, Chen, Z.;, Li, Y.;, Mel, H. In vivo noninvasive detection of chlorophyll distribution in cucumber (Cucumis sativus) leaves by indices based on hyperspectral imaging. Anal. Chim. Acta 2011, 706, 105-112.
13. Richardson, A. D.;, Duigan, S. P.;, Berlyn, G. P. An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytologist 2002, 153, 185-194.
14. Zou, X.;, Zhao, J.;, Malcolm, J. W.;, Mel, H.;, Mao, H. Variables selection methods in near-infrared spectroscopy. Anal. Chim. Acta 2010, 667, 14-32.
15. Guo, Z.;, Chen, Q.;, Chen, L.;, Huang, W.;, Zhang, C.;, Zhao, C. Optimization of informative spectral variables for the quantification of EGCG in green tea using Fourier transform near-infrared (FT-NIR) spectroscopy and multivariate calibration. Appl. Spectrosc. 2011, 65, 1062-1067.
16. Leardi, R.;, Norgaard, L. Sequential application of backward interval partial least squares and genetic algorithms for the selection of relevant spectral regions. J. Chemometrics 2004, 18, 486-497.
17. Wei, Y. H.;, Li, W.;, Hui, N.;, Xi, L. L.;, Yao, X. J.;, Wu, X. Quantitative near-infrared spectrum-active blood efficacy relationship of compound danshen tablet with genetic algorithm-multiple linear regression. Spectrosc. Lett. 2012, 45 (3), 167-174.
18. Leardi, R. Application of genetic algorithm-PLS for feature selection in spectral data sets. J. Chemometrics 2000, 14, 643-655.
19. Lichtenthaler, H. K. Chlorophylls carotenoids: pigments of photosynthetic biomembranes. Methods Enzymol. 1987, 148, 350-382.
20. Jones, J. J.;, Bridges, A. M.;, Fosberry, A. P.;, Gardner, S.;, Lowers, R. R.;, Newby, R. R.;, James, P. J.;, Hall, R. M.;, Jenkins, O. Potential of real-time measurement of GFP-fusion proteins. J. Biotechnol. 2004, 109, 201-211.
21. Zou, X.;, Zhao, J.;, Li, Y. Selection of the efficient wavelength regions in FT-NIR spectroscopy for determination of SSC of Fuji apple based on BiPLS and FiPLS models. Vibrat. Spectrosc. 2007, 44, 220-227.
22. Gitelson, A. A.;, Merzlyak, M. N.;, Lichtenthaler, H. K. Detection of red edge position and chlorophyll content by reflectance measurements near 700 nm. J. Plant Physiol. 1996, 148, 501-508.