TY - JOUR
T1 - Optical Coherence Tomography as a Non-Invasive Tool for Plant Material Characterization in Agriculture
T2 - A Review
AU - Saleah, Sm Abu
AU - Kim, Shinheon
AU - Luna, Jannat Amrin
AU - Wijesinghe, Ruchire Eranga
AU - Seong, Daewoon
AU - Han, Sangyeob
AU - Kim, Jeehyun
AU - Jeon, Mansik
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2024/1
Y1 - 2024/1
N2 - Characterizing plant material is crucial in terms of early disease detection, pest control, physiological assessments, and growth monitoring, which are essential parameters to increase production in agriculture and prevent unnecessary economic losses. The conventional methods employed to assess the aforementioned parameters have several limitations, such as invasive inspection, complexity, high time consumption, and costly features. In recent years, optical coherence tomography (OCT), which is an ultra-high resolution, non-invasive, and real-time unique image-based approach has been widely utilized as a significant and potential tool for assessing plant materials in numerous aspects. The obtained OCT cross-sections and volumetrics, as well as the amplitude signals of plant materials, have the capability to reveal vital information in both axial and lateral directions owing to the high resolution of the imaging system. This review discusses recent technological trends and advanced applications of OCT, which have been potentially adapted for numerous agricultural applications, such as non-invasive disease screening, optical signals-based growth speed detection, the structural analysis of plant materials, and microbiological discoveries. Therefore, this review offers a comprehensive exploration of recent advanced OCT technological approaches for agricultural applications, which provides insights into their potential to incorporate OCT technology into numerous industries.
AB - Characterizing plant material is crucial in terms of early disease detection, pest control, physiological assessments, and growth monitoring, which are essential parameters to increase production in agriculture and prevent unnecessary economic losses. The conventional methods employed to assess the aforementioned parameters have several limitations, such as invasive inspection, complexity, high time consumption, and costly features. In recent years, optical coherence tomography (OCT), which is an ultra-high resolution, non-invasive, and real-time unique image-based approach has been widely utilized as a significant and potential tool for assessing plant materials in numerous aspects. The obtained OCT cross-sections and volumetrics, as well as the amplitude signals of plant materials, have the capability to reveal vital information in both axial and lateral directions owing to the high resolution of the imaging system. This review discusses recent technological trends and advanced applications of OCT, which have been potentially adapted for numerous agricultural applications, such as non-invasive disease screening, optical signals-based growth speed detection, the structural analysis of plant materials, and microbiological discoveries. Therefore, this review offers a comprehensive exploration of recent advanced OCT technological approaches for agricultural applications, which provides insights into their potential to incorporate OCT technology into numerous industries.
KW - agriculture
KW - disease detection
KW - image analysis
KW - image processing
KW - optical coherence tomography
KW - optical imaging
UR - http://www.scopus.com/inward/record.url?scp=85181919032&partnerID=8YFLogxK
U2 - 10.3390/s24010219
DO - 10.3390/s24010219
M3 - Review article
C2 - 38203080
AN - SCOPUS:85181919032
SN - 1424-8220
VL - 24
JO - Sensors
JF - Sensors
IS - 1
M1 - 219
ER -