Full TGIF Record # 276436
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DOI:10.1111/grs.12122
Web URL(s):http://onlinelibrary.wiley.com/doi/10.1111/grs.12122/full
    Last checked: 10/13/2016
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http://onlinelibrary.wiley.com/doi/10.1111/grs.12122/epdf
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Publication Type:
i
Report
Author(s):Fan, Xinyan; Kawamura, Kensuke; Lim, Jihyun; Yoshitoshi, Rena; Yuba, Norio; Lee, Hyo-Jin; Kurokawa, Yuzo; Tsumiyama, Yoshimasa
Author Affiliation:Fan: Graduate School for International Development and Cooperation, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan; Kawamura: Graduate School for International Development and Cooperation, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan and The Research Center of Animal Science (RCAS), Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan; Lim: Graduate School for International Development and Cooperation, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan; Yoshitoshi: Graduate School for International Development and Cooperation, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan; Yuba: Graduate School for International Development and Cooperation, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan and Hiroshima Prefectural Technology Research Institute, Higashi-Hiroshima, Hiroshima, Japan; Lee: Construction and Environment Research Institute, Sungkyunkwan University, Seoul, Korea; Kurokawa: The Research Center of Animal Science (RCAS), Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan and Setouchi Field Science Center, Graduate School of Biosphere Science, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan; Tsumiyama: Setouchi Field Science Center, Graduate School of Biosphere Science, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan
Title:Spring growth state detection in Italian ryegrass field using a ground-based camera system
Column Name:Short report
Other records with the "Short report" Column
Source:Grassland Science. Vol. 62, No. 3, July 2016, p. 188-193.
# of Pages:6
Publishing Information:Oxford, England: Blackwell Pub.
Related Web URL:http://onlinelibrary.wiley.com/wol1/doi/10.1111/grs.12122/abstract
    Last checked: 10/13/2016
    Notes: Abstract only
Keywords:TIC Keywords: Growth analysis; Image analysis; Lolium multiflorum; Phenology; Spring green-up
Abstract/Contents:"Information on the spring growth status of winter forage crops is crucial for evaluating productivity and nutrient management. This study aimed to determine the spring quick growth stage (QGS) of Italian ryegrass using a ground-based camera system. The camera system, installed in two Italian ryegrass fields at the farm of Hiroshima University, captured images automatically three times per day in red, green and blue channels over the growing season in 2012-13. Four presumed color intensities/indices were fitted using a logistic model to construct smoothed time-series data. Among the color intensities/indices, excess green was suggested to be the best parameter for monitoring seasonal changes. The root mean squared error of the estimated phenology dates against plant height was 7.7 days for the start-QGS and 2.8 days for the end-QGS. These results from a single year should be broadened to examine other methodologies for image processing and extended to multi-year data."
Language:English
References:24
Note:Equations
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ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Fan, X., K. Kawamura, J. Lim, R. Yoshitoshi, N. Yuba, H.-J. Lee, et al. 2016. Spring growth state detection in Italian ryegrass field using a ground-based camera system. Grassland Science. 62(3):p. 188-193.
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DOI: 10.1111/grs.12122
Web URL(s):
http://onlinelibrary.wiley.com/doi/10.1111/grs.12122/full
    Last checked: 10/13/2016
    Access conditions: Item is within a limited-access website
http://onlinelibrary.wiley.com/doi/10.1111/grs.12122/epdf
    Last checked: 10/13/2016
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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