Selecting Significant Wavelengths to Predict Chlorophyll Content of Grafted Cucumber Seedlings Using Hyperspectral Images |
Jang, Sung Hyuk
(Institute for Agricultural Machinery & ICT Convergence, Chonbuk National University)
Hwang, Yong Kee (Institute for Agricultural Machinery & ICT Convergence, Chonbuk National University) Lee, Ho Jun (Department of Agricultural Machinery Engineering, Graduate School, Chonbuk National University) Lee, Jae Su (Department of Agricultural Machinery Engineering, Graduate School, Chonbuk National University) Kim, Yong Hyeon (Institute for Agricultural Machinery & ICT Convergence, Chonbuk National University) |
1 | Datt, B., 1999. Visible/near infrared reflectance and chlorophyll content in Eucalyptus leaves, International Journal of Remote Sensing, 20(14): 2741-2759. DOI |
2 | Daughtry, C.S.T., C.L. Walthall, M.S. Kim, E.B. Colstoun, and J.E. McMurtrey III, 2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance, Remote Sensing of Environment, 74(2): 229-239. DOI |
3 | Ferns, D.C., S.J. Zara, and J.Barber, 1984. Application of high resolution spectroradiometry to vegetation, Photogrammetric Engineering and Remote Sensing, 50(12): 1725-1735. |
4 | Fourty, T., F. Baret, S. Jacquemoud, G. Schmuck, and J. Verdebout, 1996. Leaf optical properties with explicit description of its biochemical composition: Direct and inverse problems, Remote Sensing of Environment, 56(2): 104-117. DOI |
5 | Gitelson, A.A., Y. Gritz, and M.N. Merzlyak, 2003. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for nondestructive chlorophyll assessment in higher plant leaves, Journal of Plant Physiology, 160(3): 271-282. DOI |
6 | Hendry, G.A.F. and A.H. Price, 1993. Stress indicators: chlorophylls and carotenoids, In: Hendry, G.A.F., Grime, J.P. (Eds.), Methods in Comparative Plant Ecology, Chapman & Hall, London, UK, pp.148-152. |
7 | Hiscox, J.D. and G.F. Israelstam, 1979. A method for the extraction of chlorophyll from leaf tissue without maceration, Canadian Journal of Botany, 57(12): 1332-1334. DOI |
8 | Hortensteinera, S. and B. Krautler, 2011. Chlorophyll breakdown in higher plants, Biochimica et Biophysica Acta Bioenergetics, 1807(8): 977-988. DOI |
9 | Jang, S.H., H.J. Lee, J.S. Lee, and Y.H. Kim, 2018. Prediction of moisture content of grafted cucumber seedlings using hyperspectral image, Proc. of the 9th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering,Jeju, Korea, May 28-30, p.201. |
10 | Jiang, Z., A.R, Huete, J. Chen, Y. Chen, J. Li, G. Yan, and X. Zhang, 2006. Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction, Remote Sensing of Environment, 101(3): 366-378. DOI |
11 | Jones, C.L., P.R. Weckler, N.O. Maness, R. Jayasekara, M.L. Stone, and D.Chrz, 2007.Remote sensing to estimate chlorophyll concentration in spinach using multi-spectral plant reflectance, Transactions of the ASABE, 50(6): 2267-2273. DOI |
12 | Kochubey, S.M. and T.A. Kazantsev, 2007.Changes in the first derivatives of leaf reflectance spectra of various plants induced by variations of chlorophyll content, Journal of Plant Physiology, 164(12): 1648-1655. DOI |
13 | Leprieur, C., Y.H. Kerr, S. Mastorchio, and J.C. Meunier, 2000. Monitoring vegetation cover across semi-arid regions:Comparison of remote observations from various scales, International Journal of Remote Sensing, 21(2): 281-300. DOI |
14 | Min, M. and W.S. Lee, 2005. Determination of significant wavelengths and prediction of nitrogen content for citrus, Transactions of the ASAE, 48(2): 455-461. DOI |
15 | Ling, Q., W. Huang, and P. Jarvis, 2011. Use of a SPAD-502 meter to measure leaf chlorophyll concentration in Arabidopsis thaliana, Photosynthesis Research, 107(2): 209-214. DOI |
16 | Marini, R.P., 1986. Do net gas exchange rates of green and red peach leaves differ?, HortScience, 21: 118-120. |
17 | McKinney, G., 1941. Absorption of light by chlorophyll solutions, Journal of Biological Chemistry, 140: 315-322. DOI |
18 | Nettoa, A.T., E. Campostrinib, J.G. Oliveirab, and R.E. Bressan-Smith, 2005. Photosynthetic pigments, nitrogen, chlorophyll a fluorescence and SPAD-502 readings in coffee leaves, Scientia Horticulturae, 104(2): 199-209. DOI |
19 | Nieuwenhove, V.V., J.D. Beenhouwer, F.D. Carlo, L. Mancini, F. Marone, and J. Sijbers, 2015. Dynamic intensity normalization using eigen flat fields in X-ray imaging, Optics Express, 23(21): 27975-27989. DOI |
20 | Osten, D.W.,1988. Selection of optimal regression models via cross-validation, Journal of Chemometrics, 2(1): 39-48. DOI |
21 | Penuelas, J. and I. Filella, 1998. Visible and near-infrared reflectance techniques for diagnosing plant physiological status, Trends in Plant Science, 3(4): 151-156. DOI |
22 | Rasti, B., P. Scheunders, P. Ghamisi, G. Licciardi, and J. Chanussot, 2018. Noise Reduction in Hyperspectral Imagery: Overview and Application, Remote Sensing, 10(3): 482-509. DOI |
23 | Thomas, J.R. and H.W. Gaussman, 1977. Leaf reflectance vs. leaf chlorophyll and carotenoid concentration for eight crops, Agronomy Journal, 69(5): 799-802. DOI |
24 | Xue, L. and L. Yang, 2009. Deriving leaf chlorophyll content of green-leafy vegetables from hyperspectral reflectance, Journal of Photogrammetry and Remote Sensing, 64(1): 97-106. DOI |
25 | Uddling, J., J. Gelang-Alfredsson, K. Piikki, and H. Pleijel, 2007. Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings, Photosynthesis Research, 91(1): 37-46. DOI |
26 | Vidal, M. and J.M. Amigo, 2012. Pre-processing of hyperspectral images, Essential steps before image analysis, Chemometrics and Intelligent Laboratory Systems, 117(1): 138-148. DOI |
27 | Wallihan, E.F., 1973. Portable reflectance meter for estimating chlorophyll concentrations in leaves, Agronomy Journal, 65(4): 659-662. DOI |