Optical signal intensity incorporated rice seed cultivar classification using optical coherence tomography
Sm Abu Saleah, Seung‐Yeol Lee, Ruchire Eranga Wijesinghe, Junsoo Lee, Daewoon Seong, N. Ravichandran, Hee–Young Jung, Mansik Jeon, Jeehyun Kim
Abstract
Here, the optical signal intensity of swept-source optical coherence tomography (SS-OCT) was incorporated to assess the images of different rice seeds for precise cultivar classification. Such classification is essential from various agricultural viewpoints but remains challenging because rice seeds have a similar visual appearance. Thus, studies on rice seed cultivar classification play a key role in achieving a successful rice yield. To investigate the feasibility of the proposed approach, two-dimensional OCT images were acquired from two types of rice seed cultivars (Chucheong and Hopyeong), which were then subjected to an optical signal intensity assessment. Based on the depth-dependent optical scan profile results, the averaged and normalized back-scattered light intensity curves revealed a distinct difference between each cultivar, which aided the precise classification of the cultivars. Therefore, the developed optical signal-sensing approach can be extensively applicable to seed cultivar classification in the agricultural industry.