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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 10 — Apr. 1, 2010
  • pp: 1687–1697

Biophotonic in situ sensor for plant leaves

Elian Conejo, Jean-Pierre Frangi, and Gilles de Rosny  »View Author Affiliations


Applied Optics, Vol. 49, Issue 10, pp. 1687-1697 (2010)
http://dx.doi.org/10.1364/AO.49.001687


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Abstract

Knowledge of the water concentration of plants can be helpful in several environmental and agricultural domains. There are many methods for the determination of water content in plant leaves; however, most of them give a relative moisture level or an analytical measure after a previous calibration procedure. Even for other biochemical compounds such as dry matter or chlorophyll, the measurement techniques could be destructive. For this reason, a nondestructive method has been developed to measure the biochemical compounds of a plant leaf, using an infrared spectroscopy technique. One important advantage is the simplicity of the device (RAdiomètre portatif de Mesure In Situ, RAMIS) and its capability to perform measurements in situ. The prototype is a leaf-clip configuration and is made of LEDs at five wave lengths (656, 721, 843, 937, and 1550 nm ), and a silicon/germanium photosensor. To compute the water content of vegetative leaves, the radiative transfer model PROSPECT was implemented. This model can accurately predict spectral transmittances in the 400 nm to 2500 nm spectral region as a function of the principal leaf biochemical contents: water, dry matter, and chlorophyll. Using the transmittance measured by RAMIS into an inversion procedure of PROSPECT: A Model of Leaf Optical Properties Spectra, we are able to compute the values of water contents that show an agreement with the water contents measured directly using dry weight procedures. This method is presented as a possibility to estimate other leaf biochemical compounds using appropriate wavelengths.

© 2010 Optical Society of America

OCIS Codes
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology
(280.1415) Remote sensing and sensors : Biological sensing and sensors

ToC Category:
Remote Sensing and Sensors

History
Original Manuscript: August 12, 2009
Revised Manuscript: February 26, 2010
Manuscript Accepted: March 1, 2010
Published: March 22, 2010

Virtual Issues
Vol. 5, Iss. 8 Virtual Journal for Biomedical Optics

Citation
Elian Conejo, Jean-Pierre Frangi, and Gilles de Rosny, "Biophotonic in situ sensor for plant leaves," Appl. Opt. 49, 1687-1697 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-10-1687


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References

  1. W. F. McClure, A. Hamid, F. G. Giesbrecht, and W. W. Weeks, “Fourier analysis enhances NIR diffuse reflectance spectroscopy,” Appl. Spectrosc. 38, 322-329 (1984). [CrossRef]
  2. V. Demarez, J. P. Gastellu-Etchegorry, E. Mougin, G. Marty, C. Proisy, E. Dufrne, and V. LeDantec, “Seasonal variation of leaf chlorophyll content of a temperate forest, inversion of the PROSPECT model,” Intl. J. Remote Sensing 20, 879-894(1999). [CrossRef]
  3. G. Le Maire, C. Francois, and E. Dufrene, “Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements,” Remote Sensing Environ. 89, 1-28 (2003). [CrossRef]
  4. G. H. Downing, G. Carter, W. Holladayk, and W. G. Cibula, “The radiative-equivalent water thickness of leaves,” Remote Sensing Environ. 46, 103-107 (1993). [CrossRef]
  5. H. W. Gausman, “Plant Leaf Optical Properties in Visible and Near Infrared Light, Graduate Studies Series (Texas Tech University, 1985), Vol. 29.
  6. D. Combes, L. Bousquet, S. Jacquemoud, H. Sinoquet, C. Varlet-Grancher, and I. Moya, “A new spectrophotogoniometer to measure leaf spectral and directional optical properties,” Remote Sensing Environ. 109, 107-117 (2007). [CrossRef]
  7. T. Fourty, F. Baret, S. Jacquemoud, S. Schmuck, and J. Verdebout, “Leaf optical properties with explicit description of its biochemical composition: direct and inverse problems,” Remote Sensing Environ. 56, 104-117 (1996). [CrossRef]
  8. S. Chung, J. Sung, K. A. Sudduth, S. T. Drummond, and B. Hyun, “Spatial variability of yield, chlorophyll content, and soil properties in a Korean rice paddy field,” Proceedings of the 5th International Conference on Precision Agriculture, P.C.Robert, ed. (ASA, 2001). [PubMed]
  9. A. D. Richardson, S. P. Duigan, and G. P. Berlyn, “An evaluation of noninvasive methods to estimate foliar chlorophyll content,” New Phytologist 153, 185-194 (2002). [CrossRef]
  10. Y. Goulas, Z. G. Cerovic, A. Cartelat, and I. Moya, “Dualex: a new instrument for field measurements of epidermal ultraviolet absorbance by chlorophyll fluorescence,” Appl. Opt. 43, 4488-4496 (2004). [CrossRef] [PubMed]
  11. R. B. Myneni, Photon-Vegetation Interactions: Applications in Optical Remote Sensing and Plant Ecology (Springer-Verlag, 1991). [PubMed]
  12. S. Jacquemoud and F. Baret, “PROSPECT: a model of leaf optical properties spectra,” Remote Sensing Environ. 34, 75-91 (1990). [CrossRef]
  13. W. Allen, “Transmission of isotropic light across a dielectric surface in two and three dimensions,” J. Opt. Soc. Am. 63, 664-666 (1973). [CrossRef]
  14. J. B. Feret, C. Franois, G. P. Asner, A. A. Gitelson, R. E. Martin, P. R. Bidel, S. L. Ustin, G. Le Maire, and S. Jacquemoud, “PROSPECT-4 and 5: advances in the leaf optical properties model separating photosynthetic pigments,” Remote Sensing Environ. 112, 3030-3043 (2008). [CrossRef]
  15. G. G. Stokes, “On the intensity of the light reflected from or transmitted through a pile of plates,” Proc. R. Soc. London 11, 545-556 (1860). [CrossRef]
  16. S. Jacquemoud, S. L. Ustin, J. Verdebout, G. Schmuck, G. Andreoli, and B. Hosgood, “Estimating leaf biochemistry using the PROSPECT leaf optical properties model,” Remote Sensing Environ. 56, 194-202 (1996). [CrossRef]
  17. Y. Zuhu, S. Runhe, and Z. Ershun, “Calculation of mesophyll structure parameter and its effect on leaf spectral reflectance,” in Proceedings of IEEE International Conference on Geoscience and Remote Sensing Symposium, 2005 (IEEE, 2005), pp 1299-1301. [CrossRef]
  18. A. Tarantola, Inverse Problem Theory and Methods for Model Parameter Estimation (Society for Industrial and Applied Mathematics, 2005). [CrossRef]
  19. J. P. Frangi, S. Jacquemoud, G. De Rosny, B. Equer, I. Roca, P. Cabarrocas, and R. Vanderhagen, “Radiometric device and method for determining in situ the biochemical content of leaves, and portable apparatus comprising same,” World Intellectual Property OrganizationWO/2003/006960, patent PCT/FR2002/002494 (23 January 2003).
  20. P. Bousquet, Spectroscopie Instrumentale (Dunod Université, 1969).
  21. P. Ceccato, S. Flasse, S. Tarantola, S. Jacquemoud, and J. M. Grégoire, “Detecting vegetation water content using reflectance in the optical domain,” Remote Sensing Environ. 77, 22-33 (2001). [CrossRef]
  22. D. A. Sims and J. A. Gamon, “Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages,” Remote Sensing Environ. 81, 337-354 (2002). [CrossRef]

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