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Method for Estimation of Total Nitrogen and fiber Contents in Tealeaves With Ground Based Network Cameras
Kohei Arai
Pages - 21 - 30     |    Revised - 01-05-2011     |    Published - 31-05-2011
Volume - 2   Issue - 2    |    Publication Date - May / June 2011  Table of Contents
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KEYWORDS
Tea Estate, Nitrogen Content, Network Camera, Fiber Content, Near Infrared Camera
ABSTRACT
Methods for estimation of total nitrogen and fiber contents in tealeaves with ground based network cameras are proposed. Due to a fact that Near Infrared: NIR camera data is proportional to total nitrogen while that shows negative correlation to fiber contents, it is possible to estimate nitrogen and fiber contents in tealeaves with ground based NIR camera data and remote sensing satellite data. Through regressive analysis between measured total nitrogen and fiber contents and NIR reflectance of tealeaves in tea estates, it is found that there is a good correlation between both then regressive equations are created. Also it is found that monitoring of total nitrogen and fiber contents in tealeaves measured with networks cameras is valid. Thus it is concluded that a monitoring of tea estates with network cameras of visible and NIR is appropriate.
CITED BY (7)  
1 Arai, K., Sasaki, Y., Kasuya, S., & Matusura, H. (2015). Appropriate Tealeaf Harvest Timing Determination Based on NIR Images.
2 Arai, K., Sakashita, M., Shigetomi, O., & Miura, Y. (2015). Relation between Rice Crop Quality (Protein Content) and Fertilizer Amount as Well as Rice Stump Density Derived from Helicopter Data. Relation, 4(7).
3 Arai, K., Sasaki, Y., Kasuya, S., & Matusura, H. Appropriate Tealeaf Harvest Timing Determination Referring Fiber Content in Tealeaf Derived from Ground based Nir Camera Images.
4 Arai, K., Sakashita, M., Shigetomi, O., & Miura, Y. Estimation of Protein Content in Rice Crop and Nitrogen Content in Rice Leaves Through Regression Analysis with NDVI Derived from Camera Mounted Radio-Control Helicopter.
5 Arai, K. Method for Tealeaves Quality Estimation Through Measurements of Degree of Polarization, Leaf Area Index, Photosynthesis Available Radiance and Normalized Difference Vegetation Index for Characterization of Tealeaves.
6 Arai, K. Rice Crop Quality Evaluation Method through Regressive Analysis between Nitrogen Content and Near Infrared Reflectance of Rice Leaves Measured from Near Field.
7 Arai, K. Discrimination Method between Prolate and Oblate Shapes of Leaves Based on Polarization Characteristics Measured with Polarization Film Attached Cameras.
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1 J.T.Compton, Red and photographic infrared linear combinations for monitoring vegetation,Journal of Remote Sensing of Environment, 8, 127-150, 1979.
2 C.Wiegand, M.Shibayama, and Y.Yamagata, Spectral observation for estimating the growth and yield of rice, Journal of Crop Science, 58, 4, 673-683, 1989.
3 J. F. Blinn. "Models of light reflection for computer synthesized pictures". Proc. 4th annual conference on computer graphics and interactive techniques: 192.doi:10.1145/563858.563893. http://portal.acm.org/citation.cfm?doid=563858.563893., 1977.
4 http://www.geocities.co.jp/nettaikaju/Observation4-04.html (Access on Jan.5 2009)
5 J.E. Greivenkamp, Field Guide to Geometrical Optics. SPIE Field Guides vol. FG01. SPIE.ISBN 0-8194-5294-7, 2004.
6 R. Seto, H. Nakamura, F. Nanjo, Y. Hara, Bioscience, Biotechnology, and Biochemistry,Vol.61 issue9 1434-1439,1997.
7 M. Sano, M. Suzuki, T. Miyase, K. Yoshino, Maeda and M. Yamamoto, J. Agric. Food Chem.,47 (5), 1906-1910 1999.
Professor Kohei Arai
Saga University - Japan
arai@is.saga-u.ac.jp