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Multispectral image sensor for detection of nitrogen deficiency in corn by using an empirical line method

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  031135,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.13743) @2003
Authors:   Hyun Kwon Noh, Qin Zhang, Beom-Soo Shin, Shufeng Han
Keywords:   Precision Crop Management, Multi Spectral Image, SPAD, Nitrogen Deficiency, Reflectance

The core of precision crop management is to apply only necessary amount of nitrogen to where it is needed. To determine the site-specific yield potential, various nitrogen stress sensing methods, including aerial image, tissue analysis, soil sampling analysis and SPAD meter readings, are currently used. The efficiency of side-dressing is heavily relied on the capability of detecting nitrogen deficiency on a sprayer. This paper presents the development of a multi-spectral nitrogen deficiency sensor, which uses three channels (green, red, near-infrared) of crop images to determine nitrogen level of the corn. The core of this investigation is the calibration methods between the multi-spectral references and the nitrogen levels in crops measured using a SPAD meter. Some noticeable relationships between the multi-spectral reflectance and SPAD readings were found from this study. Based on field validation tests during corn growing season, the developed multi-spectral nitrogen deficiency sensor was found to be capable of detecting corn nitrogen level reliably in real-time.

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