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Measuring leaf necrosis and chlorosis of bamboo induced by typhoon 0613 with RGB image analysis

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Abstract

Symptoms of leaf necrosis or chlorosis of bamboo induced by Typhoon 0613 (T0613) were analyzed using RGB image analysis in Yamaguchi city, Japan. Results showed a closely positive relationship between Green/Red (G/R) value for indoor taking images of bamboo individual leaves and chlorophyll meter value (SPAD) with regression coefficient of 0.961. The relation between G/R value of room taking images and Necrotic Area Percentage (NAP) for bamboo individual leaves showed an inverse logistic function relationship, with the correlated coefficient equaling to 0.958. Both leaf chlorosis and necrosis can be quantitatively estimated by RGB image analysis. Moreover, the variance of Green/Luminance (G/L) value for the same leaf was less than that of G/R for images taken in the conditions with large light difference, especially for green leaves. G/L value also exhibited a closer relationship with SPAD value of leaves with chlorosis than that of G/R values at the same condition. The relationship between G/L value for bamboo canopies and the Distance from Coastline (DC) was also closer than that of the G/R value for the images taken at field sites with big light difference.

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Reference

  • Adamsen FJ, Pinter PJJr, Barnes EM, et al. 1999. Measuring wheat senescence with a digital camera. Crop Sic, 39: 719–724.

    Google Scholar 

  • Adamsen FJ, Coffelt TA, Nelson M, et al. 2000. Method for using images from a color digital camera to estimate flower number. Crop Sci, 40(3): 704–770.

    Google Scholar 

  • Cai Hongchang, Cui Haixin, Song Weitang, Gao Lihong. 2006. Preliminary study on photosynthetic pigment content and color feature of cucumber initial blooms. Transactions of the CSAE, 22(9): 34–38. (in Chinese)

    CAS  Google Scholar 

  • Iwaya K, Yamamoto H. 2005. The diagnosis of optimal harvesting time of rice using digital imaging. Journal of Agricultural Meteorology, 60(5): 981–984.

    Google Scholar 

  • Kawashima S, Nakatani M. 1998. An Algorithm for Estimating Chlorophyll Content in Leaves Using a Video Camera. Annals of Botany, 81: 49–54.

    Article  Google Scholar 

  • Lei Yongwen, Wei Changzhou, Ye Jun, Hou Zhenan, Li Junhua, Jia Liangliang. 2004. Application of computer aided cotton leaf color analysis in nitrogen status diagnosis in cotton plants. Journal of Shihezi University (Natural Science Edition), 22(2): 113–116. (in Chinese)

    Google Scholar 

  • Okado M, Nakamura Y. 1993. Studies on the measurement of the color of rice leaves by image processing. Journal of Agriculture mechanical association, 55(5): 75–81.(in Japanese)

    Google Scholar 

  • Salisbury R. 1805. An account of a storm of salt, Linn. Soc. Landon Trans, 8: 286–290.

    Google Scholar 

  • Suzuki T. 1995. Measurement of growth of plug seedlings by image processing in broccoli. Acta Horticulturae, 399: 333–343.

    Google Scholar 

  • Suzuki T, Murase H, Honami N. 1999. Non-destructive growth measurement cabbage pug seedlings population by image information. Journal of Agriculture Mechanical Association, 61(2): 45–51. (in Japanese)

    Google Scholar 

  • Treshow T. 1970. Environment and plant response. Mcgraw-Hill Publications in the Agricultural Science, P22–P34.

  • Xu Guili, Mao Hanping, Li Pingping. 2002. Extracting color features of leaf color images. Transactions of the CSAE, 18(4): 150–154. (in Chinese)

    Google Scholar 

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Correspondence to Fei Wang.

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Wang, F., Yamamoto, H. & Ibaraki, Y. Measuring leaf necrosis and chlorosis of bamboo induced by typhoon 0613 with RGB image analysis. Journal of Forestry Research 19, 225–230 (2008). https://doi.org/10.1007/s11676-008-0038-z

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  • DOI: https://doi.org/10.1007/s11676-008-0038-z

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