Advanced search
Publication Cover
International Journal of Remote Sensing Volume 30, 2009 - Issue 18
Submit an article Journal homepage
353
Views
15
CrossRef citations to date
0
Altmetric
Original Articles

Estimation of citrus yield from canopy spectral features determined by airborne hyperspectral imagery

Xujun Ye College of Biosystems Engineering and Food Science, Zhejiang University, Huajiachi Campus, Hangzhou, 310029, PR China; Institute of Symbiotic Science and Technology, Department of Ecoregion Science, Faculty of Agriculture, Tokyo University of Agriculture and Technology, Tokyo, 183-8509, Japan; Laboratory of Bioprocess Engineering, Department of Biological and Environmental Engineering, The University of Tokyo, Tokyo, 113-8657, JapanCorrespondence[email protected]
,
Kenshi Sakai Institute of Symbiotic Science and Technology, Department of Ecoregion Science, Faculty of Agriculture, Tokyo University of Agriculture and Technology, Tokyo, 183-8509, Japan
,
Akira Sasao Institute of Symbiotic Science and Technology, Department of Ecoregion Science, Faculty of Agriculture, Tokyo University of Agriculture and Technology, Tokyo, 183-8509, Japan
&
Shin-ichi Asada Ashigara Region Office, Nebukawa Branch, Kanagawa Agricultural Technology Center, Odawara, 250-0024, Japan
Pages 4621-4642 | Received 06 Apr 2007, Accepted 25 Jan 2008, Published online: 07 Sep 2009

Citations (15)

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

Subscribe to citation updates

Read on this site (1)

José L. Gallardo-Salazar, Daniela M. Carrillo-Aguilar, Marín Pompa-García & Carlos A. Aguirre-Salado. (2022) Multispectral indices and individual-tree level attributes explain forest productivity in a pine clonal orchard of Northern Mexico. Geocarto International 37:15, pages 4441-4453.
Read now

Articles from other publishers (14)

Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi, Ismail Kassou, François Bourzeix, Ouiam Lahlou, Loubna El Mansouri & Yasmina Imani. (2023) Citrus yield prediction using deep learning techniques: A combination of field and satellite data. Journal of Open Innovation: Technology, Market, and Complexity 9:2, pages 100075.
Crossref
Vinay Vijayakumar, Yiannis Ampatzidis & Lucas Costa. (2023) Tree-level citrus yield prediction utilizing ground and aerial machine vision and machine learning. Smart Agricultural Technology 3, pages 100077.
Crossref
Lucas Costa, Sudip Kunwar, Yiannis Ampatzidis & Ute Albrecht. (2021) Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning. Precision Agriculture 23:3, pages 854-875.
Crossref
Xueyuan Bai, Zhenhai Li, Wei Li, Yu Zhao, Meixuan Li, Hongyan Chen, Shaochong Wei, Yuanmao Jiang, Guijun Yang & Xicun Zhu. (2021) Comparison of Machine-Learning and CASA Models for Predicting Apple Fruit Yields from Time-Series Planet Imageries. Remote Sensing 13:16, pages 3073.
Crossref
Ansar Ali & Muhammad Imran. (2021) Remotely sensed real-time quantification of biophysical and biochemical traits of Citrus (Citrus sinensis L.) fruit orchards – A review. Scientia Horticulturae 282, pages 110024.
Crossref
Tao Wen, Lizhang Zheng, Shuai Dong, Zhongliang Gong, Mengxiang Sang, Xiuzhen Long, Mei Luo & Hailong Peng. (2019) Rapid detection and classification of citrus fruits infestation by Bactrocera dorsalis (Hendel) based on electronic nose. Postharvest Biology and Technology 147, pages 156-165.
Crossref
G. Mozgeris, D. Jonikavičius, D. Jovarauskas, R. Zinkevičius, S. Petkevičius & D. Steponavičius. (2018) Imaging from manned ultra-light and unmanned aerial vehicles for estimating properties of spring wheat. Precision Agriculture 19:5, pages 876-894.
Crossref
Asier Uribeetxebarria, Elisa Daniele, Alexandre Escolà, Jaume Arnó & José A. Martínez-Casasnovas. (2018) Spatial variability in orchards after land transformation: Consequences for precision agriculture practices. Science of The Total Environment 635, pages 343-352.
Crossref
J. H. Matthes, S. H. Knox, C. Sturtevant, O. Sonnentag, J. Verfaillie & D. Baldocchi. (2015) Predicting landscape-scale CO<sub>2</sub> flux at a pasture and rice paddy with long-term hyperspectral canopy reflectance measurements. Biogeosciences 12:15, pages 4577-4594.
Crossref
Angela Lausch, Christoph Salbach, Andreas Schmidt, Daniel Doktor, Ines Merbach & Marion Pause. (2015) Deriving phenology of barley with imaging hyperspectral remote sensing. Ecological Modelling 295, pages 123-135.
Crossref
Pedro Latorre-Carmona, Jose Martinez Sotoca, Filiberto Pla, Jose Bioucas-Dias & Carme Julia Ferre. (2013) Effect of Denoising in Band Selection for Regression Tasks in Hyperspectral Datasets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6:2, pages 473-481.
Crossref
Ryan Hruska, Jessica Mitchell, Matthew Anderson & Nancy F. Glenn. (2012) Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle. Remote Sensing 4:9, pages 2736-2752.
Crossref
K.R. Thorp, D.A. Dierig, A.N. French & D.J. Hunsaker. (2011) Analysis of hyperspectral reflectance data for monitoring growth and development of lesquerella. Industrial Crops and Products 33:2, pages 524-531.
Crossref
Hannes Feilhauer, Gregory P. Asner, Roberta E. Martin & Sebastian Schmidtlein. (2010) Brightness-normalized Partial Least Squares Regression for hyperspectral data. Journal of Quantitative Spectroscopy and Radiative Transfer 111:12-13, pages 1947-1957.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.