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פותח על ידי קלירמאש פתרונות בע"מ -
Optical remote sensor for peanut kernel abortion classification
Year:
2016
Source of publication :
Applied Optics
Authors :
שמילוביץ', זאב
;
.
Volume :
55
Co-Authors:
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
Facilitators :
From page:
4005
To page:
4010
(
Total pages:
6
)
Abstract:
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.
Note:
Related Files :
agricultural machinery
Agriculture
Oilseeds
Speckle patterns
Support vector
Temporal tracking
עוד תגיות
תוכן קשור
More details
DOI :
10.1364/AO.55.004005
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
25945
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:18
You may also be interested in
Scientific Publication
Optical remote sensor for peanut kernel abortion classification
55
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
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