322
Views
26
CrossRef citations to date
0
Altmetric
Original Articles

Statistical Models for Prediction of Dry Weight and Nitrogen Accumulation Based on Visible and Near-Infrared Hyper-Spectral Reflectance of Rice Canopies

, , , &
Pages 377-386 | Received 01 Jul 1998, Accepted 24 May 2000, Published online: 03 Dec 2015

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (7)

Claudia Kuenzer & Kim Knauer. (2013) Remote sensing of rice crop areas. International Journal of Remote Sensing 34:6, pages 2101-2139.
Read now
Wen-Shin Lin & Bo-Jein Kuo. (2013) Using the orthogonal projections methods for predicting rice (Oryza sativa L.) yield with canopy reflectance data. International Journal of Remote Sensing 34:4, pages 1428-1448.
Read now
Michio Shibayama, Toshihiro Sakamoto, Eiji Takada, Akihiro Inoue, Kazuhiro Morita, Takuya Yamaguchi, Wataru Takahashi & Akihiko Kimura. (2012) Estimating Rice Leaf Greenness (SPAD) Using Fixed-Point Continuous Observations of Visible Red and Near Infrared Narrow-Band Digital Images. Plant Production Science 15:4, pages 293-309.
Read now
Michio Shibayama, Toshihiro Sakamoto & Akihiko Kimura. (2011) A Multiband Polarimetric Imager for Field Crop Survey: ―Instrumentation and Preliminary Observations of Heading-stage Wheat Canopies―. Plant Production Science 14:1, pages 64-74.
Read now
Michio Shibayama, Toshihiro Sakamoto, Eiji Takada, Akihiro Inoue, Kazuhiro Morita, Wataru Takahashi & Akihiko Kimura. (2011) Estimating Paddy Rice Leaf Area Index with Fixed Point Continuous Observation of Near Infrared Reflectance Using a Calibrated Digital Camera. Plant Production Science 14:1, pages 30-46.
Read now
Jinheng Zhang, Chao Han & Yuepeng Li. (2010) The effects of sulphur dioxide on the spectral curves and chlorophyll concentration of rice canopy. International Journal of Remote Sensing 31:16, pages 4257-4264.
Read now
Yan Zhu, Yongchao Tian, Xia Yao, Xiaojun Liu & Weixing Cao. (2007) Analysis of Common Canopy Reflectance Spectra for Indicating Leaf Nitrogen Concentrations in Wheat and Rice. Plant Production Science 10:4, pages 400-411.
Read now

Articles from other publishers (19)

Chunyan Ma, Mingxing Liu, Fan Ding, Changchun Li, Yingqi Cui, Weinan Chen & Yilin Wang. (2022) Wheat growth monitoring and yield estimation based on remote sensing data assimilation into the SAFY crop growth model. Scientific Reports 12:1.
Crossref
Changchun Li, Yingqi Cui, Chunyan Ma, Qinlin Niu & Jingbo Li. (2021) Hyperspectral inversion of maize biomass coupled with plant height data. Crop Science 61:3, pages 2067-2079.
Crossref
Yumiko Arai-Sanoh, Masaki Okamura, Kunio Tateishi, Shiori Yabe, Hitoshi Ogiwara, Hiroe Yoshida, Satoshi Yoshinaga & Nobuya Kobayashi. (2021) Estimation Accuracy of Growth Traits in Rice using Nondestructive Sensing非破壊計測による水稲生育形質の推定精度の検討. Japanese Journal of Crop Science 90:2, pages 160-167.
Crossref
Hiroto Yamashita, Rei Sonobe, Yuhei Hirono, Akio Morita & Takashi Ikka. (2020) Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms. Scientific Reports 10:1.
Crossref
Changwei Tan, Ying Du, Jian Zhou, Dunliang Wang, Ming Luo, Yongjian Zhang & Wenshan Guo. (2018) Analysis of Different Hyperspectral Variables for Diagnosing Leaf Nitrogen Accumulation in Wheat. Frontiers in Plant Science 9.
Crossref
Shreedevi Moharana & Subashisa Dutta. (2016) Spatial variability of chlorophyll and nitrogen content of rice from hyperspectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing 122, pages 17-29.
Crossref
M. Schlemmer, A. Gitelson, J. Schepers, R. Ferguson, Y. Peng, J. Shanahan & D. Rundquist. (2013) Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels. International Journal of Applied Earth Observation and Geoinformation 25, pages 47-54.
Crossref
Kensuke Kawamura, Nariyasu Watanabe, Seiichi Sakanoue, Hyo-Jin Lee, Jihyun Lim & Rena Yoshitoshi. (2013) Genetic algorithm-based partial least squares regression for estimating legume content in a grass-legume mixture using field hyperspectral measurements. Grassland Science 59:3, pages 166-172.
Crossref
Yoshio Inoue, Eiji Sakaiya, Yan Zhu & Wataru Takahashi. (2012) Diagnostic mapping of canopy nitrogen content in rice based on hyperspectral measurements. Remote Sensing of Environment 126, pages 210-221.
Crossref
Chanseok Ryu, Masahiko Suguri & Mikio Umeda. (2011) Multivariate analysis of nitrogen content for rice at the heading stage using reflectance of airborne hyperspectral remote sensing. Field Crops Research 122:3, pages 214-224.
Crossref
Shiro Itano & Hajime Tomimatsu. (2011) Reflectance spectra for monitoring green herbage mass in Zoysia-dominated pastures. Grassland Science 57:1, pages 9-17.
Crossref
Hiroyuki Onoyama, Chanseok Ryu, Masahiko Suguri & Michihisa Iida. (2011) Estimation of Rice Protein Content Using Ground-Based Hyperspectral Remote Sensing. Engineering in Agriculture, Environment and Food 4:3, pages 71-76.
Crossref
Stavros Stagakis, Nikos Markos, Olga Sykioti & Aris Kyparissis. (2010) Monitoring canopy biophysical and biochemical parameters in ecosystem scale using satellite hyperspectral imagery: An application on a Phlomis fruticosa Mediterranean ecosystem using multiangular CHRIS/PROBA observations. Remote Sensing of Environment 114:5, pages 977-994.
Crossref
Hiroyuki Onoyama, Chanseok Ryu, Masahiko Suguri & Michihisa Iida. (2010) Estimation of Nitrogen Contents in Rice Plant at the Panicle Initiation Stage Using Ground-Based Hyperspectral Remote Sensing. IFAC Proceedings Volumes 43:26, pages 166-171.
Crossref
Kensuke Kawamura, Nariyasu Watanabe, Seiichi Sakanoue & Yoshio Inoue. (2008) Estimating forage biomass and quality in a mixed sown pasture based on partial least squares regression with waveband selection. Grassland Science 54:3, pages 131-145.
Crossref
N. RAMA RAO, P. K. GARG, S. K. GHOSH & V. K. DADHWAL. (2007) Estimation of leaf total chlorophyll and nitrogen concentrations using hyperspectral satellite imagery. The Journal of Agricultural Science 146:1, pages 65-75.
Crossref
Duli Zhao, Patrick J. Starks, Michael A. Brown, William A. Phillips & Samuel W. Coleman. (2007) Assessment of forage biomass and quality parameters of bermudagrass using proximal sensing of pasture canopy reflectance. Grassland Science 53:1, pages 39-49.
Crossref
Yan Zhu, Dongqin Zhou, Xia Yao, Yongchao Tian & Weixing Cao. (2007) Quantitative relationships of leaf nitrogen status to canopy spectral reflectance in rice. Australian Journal of Agricultural Research 58:11, pages 1077.
Crossref
Lihong Xue, Weixing Cao, Weihong Luo, Tingbo Dai & Yan Zhu. (2004) Monitoring Leaf Nitrogen Status in Rice with Canopy Spectral Reflectance. Agronomy Journal 96:1, pages 135-142.
Crossref