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Crop Physiology & Ecology

Daytime and Nighttime Field Spectral Imagery of Ripening Paddy Rice for Determining Leaf Greenness and 1000-Grain Weight

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Pages 307-318 | Received 19 Sep 2008, Accepted 25 Dec 2008, Published online: 03 Dec 2015

References

  • Adamsen, F.J., Pinter, P.J., Jr., Barnes, E.M., LaMorte, R.L., Wall, G.W., Leavitt, S.W. and Kimball, B.A. 1999. Measuring wheat senescence with a digital camera. Crop Sci. 39 : 719–724.
  • Akiyama, T., and Kawamura, K. 2003. Study of cloud cover ratio of Landsat-5 for the application on agriculture and forestry. J. Jpn Soc. Photogramm. Remote Sens. 42 : 29–34*.
  • Endo, T., Tamura, M. and Yasuoka, Y. 2001. Study on spatial estimation of biochemical parameters of leaves with hyperspectral imager. Proc. 31st Conf. Remote Sens. Soc. Jpn. 245–246*.
  • Escobar, D.E., Everitt, J.H., Noriega, J.R., Cavazos, I. and Davis, M. R. 1998. A twelve-band airborne digital video imaging system (ADVIS). Remote Sens. Environ. 66 : 122–128.
  • Hasegawa, T., Ishimaru, T., Kondo, M., Kuwagata, T., Utsumi, M., Fukuoka, M. and Yoshimoto, M. 2008. Analysis of the factors that affected variations in spikelet sterility of rice plants exposed to hot summer conditions of 2007. Jpn. J. Crop Sci. 77 (Special Issue 1) : 368–369**.
  • Homma, K., Shibayama, M., Yamamoto, H., Sugahara, K. and Shingu, H., 2004. Water pollution monitoring using a hyperspectral imaging spectropolarimeter. In A. M. Larar, M. Suzuki and Q. Tong eds., Proc. SPIE, 5655 : 419–426.
  • Inoue, Y. and Peñuelas, J. 2001. An AOTF-based hyperspectral imaging system for field use in ecophysiological and agricultural applications. Int. J. Remote Sens. 22 : 3883–3888.
  • Isoda, A., Yoshimura, T., Ishikawa, T., Nojima, H. and Takasaki, Y. 1993. Effects of leaf movement on radiation interception in field grown leguminous crops. I. Peanut (Arachis hypogaea L.). Jpn. J. Crop Sci. 62 : 300–305.
  • Kosaka, N., Minekawa, Y., Uto, K., Kosugi, Y., Oda, K. and Saito, G. 2007. Estimation of bacterial pustule on soybean using crane-mounted hyperspectral sensor data. J. Jpn Soc. Photogramm. Remote Sens. 46 : 16–24*.
  • Ku, H.H., Kim, S.H., Choi, K.S., Eom, H-Y., Lee, S-E., Yun, S-G. and Kim, T. W. 2004. Nondestructive and rapid estimation of chlorophyll content in rye leaf using digital camera. Korean J. Crop Sci. 49 : 41–45.
  • Kurosaki, H., Suzuki, T, Takefuji, Y., Tanioka, K., Oka, S., Tagashira, H., Shingu, H., Ichikawa, H. and Itoh, A. 2001a. Development of a UV and visible hyperspectral camera using AOTF. Proc. 30th Conf. Remote Sens. Soc. Jpn. 155–156*.
  • Kurosaki, H., Shingu, H., Homma, K., Suzuki, T. and Yamamoto, H. 2001b. Development of an LCTF imaging spectropolarimeter. Proc. 31st Conf. Remote Sens. Soc. Jpn. 273–274*.
  • Mallows, C.L., 1973. Some comments on Cp. Technometrics, 15 : 661–675.
  • Matsuda, M., Ozawa, S., Hosaka, Y., Kaneda, K. and Yamashita, H. 2003. Estimation of plant growth in paddy field based on proximal remote sensing – Measurement of leaf nitrogen contents by using digital camera. J. Remote Sens. Soc. Jpn. 23 : 506–515*.
  • Minekawa, Y., Uto, K., and Kosugi, Y. 2004. Development of crane-mounted hyperspectral imagery system for stable analysis of paddy field. Proc. ISRS 2004 [CD-ROM]. Jeju, Korea.
  • Minekawa, Y., Oda, K., Mori, S. and Kosugi, Y. 2007. Salt breezed damage analyses for rice paddy by reenact experiments. J. Remote Sens. Soc. Jpn. 27 : 205–215*.
  • Nakatani, M. and Kawashima, S. 1994. An attempt to assess leaf color of winter cereals using a simple video system. Jpn. J. Crop Sci. 63 : 42–47*.
  • Oguma, H., Yamagata, Y. and Kato, S. 2000. The development of a hyper spectral video system. Proc. 28th Conf. Remote Sens. Soc. Jpn. 69–72*.
  • Oh-e, I., Saitoh, K. and Kuroda, T. 2007. Effects of high temperature on growth, yield and dry-matter production of rice grown in the paddy field. Plant Prod. Sci. 10 : 412–422.
  • Okada, S. and Ikeba, M. 2008. Study of the easy method for crop diagnosis by multi-spectral camera in a paddy field. Proc. 44th Conf. Remote Sens. Soc. Jpn. 171–172*.
  • Omasa, K., Konishi, A. and Hosoi, F. 2007. Multifaceted use of imaging information in agricultural and environmental fields. In K. Omasa, ed., Cutting-edge Image Information Use in Agricultural and Environmental Fields. Nougyou Denka Kyoukai, Tokyo. 3–20***.
  • Omine, M. 2007. Spectrum digital cameras for growth sensing of soybeans. J. Jpn. Soc. Agric. Machinery. 69 : 18–20**.
  • Ono, A. and Fujiwara, N. 2002. Application of the pattern decomposition method to detect tree mortality. J. Remote Sens. Soc. Jpn. 22 : 22–31*.
  • Shibayama, M. and Akiyama, T. 1986. A spectroradiometer for field use. VII. Radiometric estimation of nitrogen levels in field rice canopies. Jpn. J. Crop Sci. 55 : 439–445.
  • Shingu, H., Homma, K., Kurosaki, H., Suzuki, T. and Yamamoto, H. 2002. Development of an onboard spectropolarimeter for Earth observation at NAL. In M. M. Blouke, J. Canosa and N. Sampat, eds., Proc. SPIE, 4669 : 89–97.
  • Takebe, M., Yoneyama, K., Inada, K. and Murakami, T. 1990. Spectral reflectance ratio of rice canopy for estimating crop nitrogen status. Plant Soil 122 : 295–297.
  • Tamura, M., Oguma, H. and Yasuoka, Y. 1998. Measurements of vegetation reflectance using a 2-D imaging spectrometer. Proc. 25th Conf. Remote Sens. Soc. Jpn. 223–224*.
  • Wakamatsu, K., Sasaki, O., Uezono, I. and Tanaka, A. 2007. Effects of high air temperature during the ripening period on the grain quality of rice in warm region of Japan. Jpn. J. Crop Sci. 76 : 71–78*.
  • Zhu, Y., Tian, Y., Yao, X., Liu, X. and Cao, W. 2007. Analysis of common canopy reflectance spectra for indicating leaf nitrogen concentrations in wheat and rice. Plant Prod. Sci. 10 : 400–411.