Applied Optics
Ozana, N., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Buchsbaum, S., Department of Computer Science, Bar-Ilan University, Ramat-Gan, Israel
Bishitz, Y., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Beiderman, Y., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Schmilovitch, Z., Institute of Agricultural Engineering, ARO, The, Volcani Center, Bet Dagan, Israel
Schwarz, A., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Shemer, A., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Keshet, J., Department of Computer Science, Bar-Ilan University, Ramat-Gan, Israel
Zalevsky, Z., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
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 noncontact device for the detection of agricultural parameters such as kernel abortion. © 2016 Optical Society of America.
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Optical remote sensor for peanut kernel abortion classification
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Ozana, N., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Buchsbaum, S., Department of Computer Science, Bar-Ilan University, Ramat-Gan, Israel
Bishitz, Y., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Beiderman, Y., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Schmilovitch, Z., Institute of Agricultural Engineering, ARO, The, Volcani Center, Bet Dagan, Israel
Schwarz, A., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Shemer, A., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Keshet, J., Department of Computer Science, Bar-Ilan University, Ramat-Gan, Israel
Zalevsky, Z., Faculty of Engineering and the Nanotechnology Center, Bar-Ilan University, Ramat-Gan, Israel
Optical remote sensor for peanut kernel abortion classification
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 noncontact device for the detection of agricultural parameters such as kernel abortion. © 2016 Optical Society of America.
Scientific Publication