Optical remote sensor for peanut kernel abortion classification

N. Ozana, S. Buchsbaum, Y. Bishitz, Y. Beiderman, Z. Schmilovitch, A. Schwarz, A. Shemer, J. Keshet, Z. Zalevsky

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In this paper, we propose a simple, inexpensive optical device for remote measurement of various agricultural parameters. The sensor is based on temporal tracking of backreflected secondary speckle patterns generated when illuminating a plant with a laser and while applying periodic acoustic-based pressure stimulation. By analyzing different parameters using a support-vector-machine-based algorithm, peanut kernel abortion can be detected remotely. This paper presents experimental tests which are the first step toward an implementation of a non-contact device for the detection of agricultural parameters such as kernel abortion. (C) 2016 Optical Society of America
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