Details

Autor(en) / Beteiligte

• Manattayil, Jyothsna Konkada
• Ravichandran, Naresh Kumar
• Wijesinghe, Ruchire Eranga
• Shirazi, Muhammad Faizan
• Lee, Seung-Yeol
• Kim, Pilun
• Jung, Hee-Young
• Jeon, Mansik
• Kim, Jeehyun

Titel

Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection

Ist Teil von

• Sensors (Basel, Switzerland), 2018-08, Vol.18 (8), p.2500

Ort / Verlag

Switzerland: MDPI AG

Erscheinungsjahr

2018

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• The non-destructive classification of plant materials using optical inspection techniques has been gaining much recent attention in the field of agriculture research. Among them, a near-infrared (NIR) imaging method called optical coherence tomography (OCT) has become a well-known agricultural inspection tool since the last decade. Here we investigated the non-destructive identification capability of OCT to classify diversely stained (with various staining agents) seed specimens of different cultivars. A swept source (SS-OCT) system with a spectral band of 1310 nm was used to image unstained control seeds along with diversely stained seeds, belonging to different cultivar varieties, such as cv. PR Ppareum, cv. PR Yeol, and cv. Asia Jeombo. The obtained cross-sectional images were further analyzed for the changes in the intensity of back-scattered light (resulting due to dye pigment material and internal morphological variations) using a depth scan profiling technique to identify the difference among each seed category. The graphically acquired depth scan profiling results revealed that the control specimens exhibit less back-scattered light intensity in depth scan profiles when compared to the stained seed specimens. Furthermore, a significant back-scattered light intensity difference among each different cultivar group can be identified as well. Thus, the potential capability of OCT based depth scan profiling technique for non-destructive classification of diversely stained seed specimens of different cultivars can be sufficiently confirmed through the proposed scheme. Hence, when compared to conventional seed sorting techniques, OCT can offer multipurpose advantages by performing sorting of seeds in respective to the dye staining and provides internal structural images non-destructively.