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Detecting Crop Growth by a Multi-Spectral Imaging Sensor

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

Citation:  Paper number  033125,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.15324)
Authors:   Tomohisa FUKAGAWA, Kazunobu ISHII, Noboru NOGUCHI, Hideo TERAO
Keywords:   leaf color index, vegetation cover rate, unmanned helicopter

The objective of this study is to develop a monitoring system of crop status for precision farming. A Multi-Spectral Imaging Sensor, which can get three wave length images(R, G and NIR) simultaneously, was used as the imaging sensor of this system. Field test of this system was carried out at the paddy field with an unmanned helicopter. Geometric correction by converting from image coordinate to global coordinate was performed by the data of RTK-GPS and inertial sensor. After obtaining field images by the system, leaf height, stem number and SPAD value were measured by conventional method as ground truth. From this result, it was clear that stem number can estimate from Vegetation Cover Rate which expresses the cover rate of crop within an image. Additionally, It was also clear that SPAD value can be estimated from Leaf Color Index calculated from the corrected R image.

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