Optical remote sensor for peanut kernel abortion classification

Nisan Ozana, Stav Buchsbaum, Yael Bishitz, Yevgeny Beiderman, Zeev Schmilovitch, Ariel Schwarz, Amir Shemer, Joseph Keshet, Zeev Zalevsky

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


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.

Original languageEnglish
Pages (from-to)4005-4010
Number of pages6
JournalApplied Optics
Issue number15
StatePublished - 20 May 2016

Bibliographical note

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© 2016 Optical Society of America.


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