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Geocarto International Volume 37, 2022 - Issue 18
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Original Articles

Use of spectral reflectance from a compact spectrometer to assess chlorophyll content in Zizania latifolia

Rei Sonobea Faculty of Agriculture, Shizuoka University, Shizuoka, JapanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8330-3730View further author information
ORCID Icon,
Hiroto Yamashitaa Faculty of Agriculture, Shizuoka University, Shizuoka, Japan;b United Graduate School of Agricultural Science, Gifu University, Gifu, JapanView further author information
,
Adenan Yandra Nofrizalc Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, JapanView further author information
,
Haruyuki Sekia Faculty of Agriculture, Shizuoka University, Shizuoka, JapanView further author information
,
Akio Moritaa Faculty of Agriculture, Shizuoka University, Shizuoka, JapanView further author information
&
Takashi Ikkaa Faculty of Agriculture, Shizuoka University, Shizuoka, JapanView further author information
Pages 5363-5375 | Received 05 Dec 2020, Accepted 10 Mar 2021, Published online: 26 Apr 2021

Citations (6)

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Read on this site (2)

Kishor Chandra Kandpal & Amit Kumar. (2023) Migrating from Invasive to Noninvasive Techniques for Enhanced Leaf Chlorophyll Content Estimations Efficiency. Critical Reviews in Analytical Chemistry 0:0, pages 1-16.
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Rei Sonobe, Yudai Sugimoto, Ryohei Kondo, Haruyuki Seki, Erika Sugiyama, Yoshikazu Kiriiwa & Katsumi Suzuki. (2021) Hyperspectral wavelength selection for estimating chlorophyll content of muskmelon leaves. European Journal of Remote Sensing 54:1, pages 513-524.
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Articles from other publishers (4)

Wijayanti Nurul Khotimah, Mohammed Bennamoun, Farid Boussaid, Lian Xu, David Edwards & Ferdous Sohel. (2023) MCE-ST: Classifying crop stress using hyperspectral data with a multiscale conformer encoder and spectral-based tokens. International Journal of Applied Earth Observation and Geoinformation 118, pages 103286.
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Rei Sonobe & Yuhei Hirono. (2022) Applying Variable Selection Methods and Preprocessing Techniques to Hyperspectral Reflectance Data to Estimate Tea Cultivar Chlorophyll Content. Remote Sensing 15:1, pages 19.
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Bambang H. Trisasongko, Dyah R. Panuju, Amy L. Griffin & David J. Paull. (2022) Fully Polarimetric L-Band Synthetic Aperture Radar for the Estimation of Tree Girth as a Representative of Stand Productivity in Rubber Plantations. Geographies 2:2, pages 173-185.
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Adenan Yandra Nofrizal, Rei Sonobe, Hiroto Yamashita, Takashi Ikka & Akio Morita. (2021) Estimation of chlorophyll content in radish leaves using hyperspectral remote sensing data and machine learning algorithms. Estimation of chlorophyll content in radish leaves using hyperspectral remote sensing data and machine learning algorithms.

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