In-Field Assessment of Single Leaf Nitrogen Status by Spectral Reflectance Measurements

In-Field Assessment of Single Leaf Nitrogen Status by Spectral Reflectance Measurements Commercial agriculture has come under increasing pressure to reduce nitrogen fertilizer inputs in order to minimize potential non-point source pollution of ground and surface waters. This has resulted in increased interest in site-specific fertilizer management. This research aimed to develop techniques for real time assessment of nitrogen status of corn using a mobile sensor with the potential to regulate nitrogen application based on data from that sensor. Specifically, the research attempted to determine the system parameters necessary to optimize reflectance spectra of corn plants as a function of growth stage and nitrogen status. An adaptable, multi-spectral sensor and the signal processing algorithm to provide real time, in-field assessment of corn nitrogen status were developed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

In-Field Assessment of Single Leaf Nitrogen Status by Spectral Reflectance Measurements

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2005 by Springer Science+Business Media, Inc.
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-005-0682-7
Publisher site
See Article on Publisher Site

Abstract

Commercial agriculture has come under increasing pressure to reduce nitrogen fertilizer inputs in order to minimize potential non-point source pollution of ground and surface waters. This has resulted in increased interest in site-specific fertilizer management. This research aimed to develop techniques for real time assessment of nitrogen status of corn using a mobile sensor with the potential to regulate nitrogen application based on data from that sensor. Specifically, the research attempted to determine the system parameters necessary to optimize reflectance spectra of corn plants as a function of growth stage and nitrogen status. An adaptable, multi-spectral sensor and the signal processing algorithm to provide real time, in-field assessment of corn nitrogen status were developed.

Journal

Precision AgricultureSpringer Journals

Published: Jan 5, 2005

References

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