Unsupervised hyperspectral band selection for apple Marssonina blotch detection

M Shuaibu, WS Lee, J Schueller, P Gader… - … and Electronics in …, 2018 - Elsevier
Apple Marssonina blotch (AMB) is a severe fungal disease that has been plaguing top apple
producing countries in the world since it was first found in Japan in 1907. The disease …

Classification of apple leaf conditions in hyper-spectral images for diagnosis of Marssonina blotch using mRMR and deep neural network

K Park, Y ki Hong, G hwan Kim, J Lee - Computers and Electronics in …, 2018 - Elsevier
In general, in order to reduce the number of bands in hyper-spectral images, transformed
features such as principal component analysis (PCA) cannot directly provide information …

Optical coherence tomography visualizes microstructure of apple peel

P Verboven, A Nemeth, MK Abera, E Bongaers… - Postharvest Biology and …, 2013 - Elsevier
Optical coherence tomography (OCT) has emerged recently as a non-destructive technique
to visualize subsurface structures of materials. The objective of this work was to investigate …

[图书][B] Bio-imaging: principles, techniques, and applications

R Vadivambal, DS Jayas - 2015 - books.google.com
This text describes in detail the various kinds of imaging techniques available, principles of
imaging, components of various imaging systems, and applications of imaging techniques in …

Measurement methods for optical absorption and scattering properties of fruits and vegetables

D Hu, X Fu, A Wang, Y Ying - Transactions of the ASABE, 2015 - elibrary.asabe.org
Quality evaluation of fruits and vegetables based on visible and near-infrared (Vis-NIR)
spectroscopy has been investigated by many research groups worldwide during the last two …

Non‐destructive evaluation of bacteria‐infected watermelon seeds using visible/near‐infrared hyperspectral imaging

H Lee, MS Kim, YR Song, CS Oh… - Journal of the …, 2017 - Wiley Online Library
BACKGROUND There is a need to minimize economic damage by sorting infected seeds
from healthy seeds before seeding. However, current methods of detecting infected seeds …

On-field optical imaging data for the pre-identification and estimation of leaf deformities

SA Saleah, RE Wijesinghe, SY Lee, NK Ravichandran… - Scientific data, 2022 - nature.com
Visually nonidentifiable pathological symptoms at an early stage are a major limitation in
agricultural plantations. Thickness reduction in palisade parenchyma (PP) and spongy …

Raman Hyperspectral Imaging for Detection of Watermelon Seeds Infected with Acidovorax citrulli

H Lee, MS Kim, J Qin, E Park, YR Song, CS Oh… - Sensors, 2017 - mdpi.com
The bacterial infection of seeds is one of the most important quality factors affecting yield.
Conventional detection methods for bacteria-infected seeds, such as biological, serological …

In Vivo Monitoring on Growth and Spread of Gray Leaf Spot Disease in Capsicum annuum Leaf Using Spectral Domain Optical Coherence Tomography

NK Ravichandran, RE Wijesinghe… - Journal of …, 2016 - Wiley Online Library
We have demonstrated the application of optical coherence tomography (OCT) in diagnosis
of growth and spread of the gray leaf spot disease in Capsicum annuum leaf caused by the …

Optical coherence tomography-integrated, wearable (backpack-type), compact diagnostic imaging modality for in situ leaf quality assessment

RE Wijesinghe, SY Lee, NK Ravichandran, S Han… - Applied …, 2017 - opg.optica.org
We developed a compact, wearable diagnostic imaging modality employing optical
coherence tomography for in situ plant leaf quality assessments. This system is capable of …