Optical remote sensor for peanut kernel abortion classification.

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.

Plant phenotyping relevance

ピーナッツの莢内胚珠・種子の退化（kernel abortion）を非接触で推定する光学センサーとSVM解析法の開発・実験評価が中心であり、植物状態の取得手法に該当する。

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