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 non-contact device for the detection of agricultural parameters such as kernel abortion. (C) 2016 Optical Society of America

Last Updated Date : 03/07/2016