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New Zealand Journal of Crop and Horticultural Science Volume 39, 2011 - Issue 4
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Articles

Early detection of canopy nitrogen deficiency in winter wheat (Triticum aestivum L.) based on hyperspectral measurement of canopy chlorophyll status

C Zhao National Engineering Research Center for Information Technology in Agriculture, Banjing, Haidian District, Beijing, China
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Z Wang National Engineering Research Center for Information Technology in Agriculture, Banjing, Haidian District, Beijing, China; Department of Physics and Astronomy, University of Lethbridge, Lethbridge, Alberta, Canada
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J Wang National Engineering Research Center for Information Technology in Agriculture, Banjing, Haidian District, Beijing, ChinaCorrespondence[email protected]
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W Huang National Engineering Research Center for Information Technology in Agriculture, Banjing, Haidian District, Beijing, China
&
T Guo National Engineering Research Center for Wheat, Henan Agricultural University, Zhengzhou, Henan, China
Pages 251-262 | Received 06 Oct 2010, Accepted 12 May 2011, Published online: 14 Jul 2011

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Mahlatse Kganyago, Clement Adjorlolo, Mbulisi Sibanda, Paidamwoyo Mhangara, Giovanni Laneve & Thomas Alexandridis. (2023) Testing Sentinel-2 spectral configurations for estimating relevant crop biophysical and biochemical parameters for precision agriculture using tree-based and kernel-based algorithms. Geocarto International 38:1, pages 1-25.
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Xiaochen Zou, Jun Jin & Matti Mõttus. (2023) Potential of Satellite Spectral Resolution Vegetation Indices for Estimation of Canopy Chlorophyll Content of Field Crops: Mitigating Effects of Leaf Angle Distribution. Remote Sensing 15:5, pages 1234.
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Lianxiang Gong, Chenxi Zhu, Yifeng Luo & Xiaping Fu. (2022) Spectral Reflectance Reconstruction from Red-Green-Blue (RGB) Images for Chlorophyll Content Detection. Applied Spectroscopy 77:2, pages 200-209.
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Abebe Mohammed Ali, Roshanak Darvishzadeh, Andrew Skidmore, Marco Heurich, Marc Paganini, Uta Heiden & Sander Mücher. (2020) Evaluating Prediction Models for Mapping Canopy Chlorophyll Content Across Biomes. Remote Sensing 12:11, pages 1788.
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Abebe Mohammed Ali, Roshanak Darvishzadeh, Andrew Skidmore, Tawanda W. Gara, Brian O’Connor, Claudia Roeoesli, Marco Heurich & Marc Paganini. (2020) Comparing methods for mapping canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data. International Journal of Applied Earth Observation and Geoinformation 87, pages 102037.
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Hengbiao Zheng, Wei Li, Jiale Jiang, Yong Liu, Tao Cheng, Yongchao Tian, Yan Zhu, Weixing Cao, Yu Zhang & Xia Yao. (2018) A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle. Remote Sensing 10:12, pages 2026.
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Haiqing Tian, Shude Shi, Hui Wang, Fei Li, Zhe Li, Ashok Alva & Ziyi Zhang. (2016) Estimation of Sugar Beet Aboveground Biomass by Band Depth Optimization of Hyperspectral Canopy Reflectance. Journal of the Indian Society of Remote Sensing 45:5, pages 795-803.
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Zh. Li, Ch. Nie, Ch. Wei, X. Xu, X. Song & J. Wang. (2016) Comparison of Four Chemometric Techniques for Estimating Leaf Nitrogen Concentrations in Winter Wheat (Triticum Aestivum) Based on Hyperspectral Features. Journal of Applied Spectroscopy 83:2, pages 240-247.
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Jana Galambošová, Miroslav Macák, Marek Živčák, Vladimír Rataj, Pavol Slamka & Katarína Olšovská. (2014) Comparison of Spectral Reflectance and Multispectrally Induced Fluorescence to Determine Winter Wheat Nitrogen Deficit. Advanced Materials Research 1059, pages 127-133.
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Qingxi Tong, Yongqi Xue & Lifu Zhang. (2014) Progress in Hyperspectral Remote Sensing Science and Technology in China Over the Past Three Decades. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7:1, pages 70-91.
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Mariangela Diacono, Pietro Rubino & Francesco Montemurro. (2012) Precision nitrogen management of wheat. A review. Agronomy for Sustainable Development 33:1, pages 219-241.
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