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Plant Production Science Volume 12, 2009 - Issue 3

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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

Michio ShibayamaNational Institute for Agro-Environmental Sciences, 3-1-3 Kannondai, Tsukuba, Ibaraki305-8604, JapanCorrespondence[email protected]

Toshihiro SakamotoNational Institute for Agro-Environmental Sciences, 3-1-3 Kannondai, Tsukuba, Ibaraki305-8604, Japan

Kohzo HommaJapan Aerospace Exploration Agency, 6-13-1 Osawa, Mitaka, Tokyo181-0015, Japan

Shuhei OkadaVision Tech Inc., 2-1-16 Umezono, Tsukuba, Ibaraki305-0045, Japan

Hiromichi YamamotoVision Tech Inc., 2-1-16 Umezono, Tsukuba, Ibaraki305-0045, Japan

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

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https://doi.org/10.1626/pps.12.307

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Kei YOSHIKAWA, Kentaro TAKAGI, Tomotsugu YAZAKI, Takashi HIRANO, Shintaro HAYAKASHI, Reiko IDE, Hiroyuki OGUMA, Yasuo HIROSE & Junichi KURIHARA. (2021) Exploring a best vegetation index to explain the seasonal variation of a forest photosynthesis using a hyper-spectral camera equipped with liquid crystal tunable filter. Journal of Agricultural Meteorology 77:4, pages 253-261.
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Zhenghong Yu, Zhiguo Cao, Xi Wu, Xiaodong Bai, Yueming Qin, Wen Zhuo, Yang Xiao, Xuefen Zhang & Hongxi Xue. (2013) Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage. Agricultural and Forest Meteorology 174-175, pages 65-84.
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Toshihiro Sakamoto, Anatoly A. Gitelson, Anthony L. Nguy-Robertson, Timothy J. Arkebauer, Brian D. Wardlow, Andrew E. Suyker, Shashi B. Verma & Michio Shibayama. (2012) An alternative method using digital cameras for continuous monitoring of crop status. Agricultural and Forest Meteorology 154-155, pages 113-126.
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