Molecular genetic application of hyperspectral image sensing as a method for high-throughput quantitative phenotype analysis

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All Science Journal Classification (ASJC) codes

@article{e89b64291dee4303873d12e90385173d,

title = "Molecular genetic application of hyperspectral image sensing as a method for high-throughput quantitative phenotype analysis",

author = "Osamu Matsuda and Noriyuki Suetsugu and Seiichi Uchida and Masamitsu Wada and Koh Iba",

year = "2014",

month = jan,

day = "1",

language = "English",

volume = "64",

pages = "205--213",

journal = "Japanese Journal of Ecology",

issn = "0021-5007",

publisher = "Tohoku University",

number = "3",

}

TY - JOUR

T1 - Molecular genetic application of hyperspectral image sensing as a method for high-throughput quantitative phenotype analysis

AU - Matsuda, Osamu

AU - Suetsugu, Noriyuki

AU - Uchida, Seiichi

AU - Wada, Masamitsu

AU - Iba, Koh

PY - 2014/1/1

Y1 - 2014/1/1

UR - https://www.scopus.com/pages/publications/84928880368

UR - https://www.scopus.com/pages/publications/84928880368#tab=citedBy

M3 - Article

AN - SCOPUS:84928880368

SN - 0021-5007

VL - 64

SP - 205

EP - 213

JO - Japanese Journal of Ecology

JF - Japanese Journal of Ecology

IS - 3

ER -