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, Naresh Kumar Ravichandran, Hee Young Jung, Mansik Jeon, Jeehyun Kim

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15 Scopus citations

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.

Original languageEnglish
Article number107014
JournalComputers and Electronics in Agriculture
Volume198
DOIs
StatePublished - Jul 2022

Keywords

  • Chucheong
  • Cultivar classification
  • Hopyeong
  • Optical signal intensity
  • Rice
  • SS-OCT

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