Partial least squares-discriminant analysis (PLS-DA) for classification of high-dimensional (HD) data: a review of contemporary practice strategies and knowledge …

LC Lee, CY Liong, AA Jemain - Analyst, 2018‏ - pubs.rsc.org
Partial least squares-discriminant analysis (PLS-DA) is a versatile algorithm that can be
used for predictive and descriptive modelling as well as for discriminative variable selection …

Aflatoxins in food and feed: An overview on prevalence, detection and control strategies

DK Mahato, KE Lee, M Kamle, S Devi… - Frontiers in …, 2019‏ - frontiersin.org
Aflatoxins produced by the Aspergillus species are highly toxic, carcinogenic, and cause
severe contamination to food sources, leading to serious health consequences …

Application of visible/infrared spectroscopy and hyperspectral imaging with machine learning techniques for identifying food varieties and geographical origins

L Feng, B Wu, S Zhu, Y He, C Zhang - Frontiers in Nutrition, 2021‏ - frontiersin.org
Food quality and safety are strongly related to human health. Food quality varies with variety
and geographical origin, and food fraud is becoming a threat to domestic and global …

Classification of hybrid seeds using near-infrared hyperspectral imaging technology combined with deep learning

P Nie, J Zhang, X Feng, C Yu, Y He - Sensors and Actuators B: Chemical, 2019‏ - Elsevier
The rapid and efficient selection of eligible hybrid progeny is an important step in cross
breeding. However, selecting hybrid offspring that meets specific requirements can be time …

Research update on aflatoxins toxicity, metabolism, distribution, and detection: A concise overview

V Jaćević, J Dumanović, SY Alomar, R Resanović… - Toxicology, 2023‏ - Elsevier
Serious health risks associated with the consumption of food products contaminated with
aflatoxins (AFs) are worldwide recognized and depend predominantly on consumed AF …

[HTML][HTML] Automated in situ seed variety identification via deep learning: a case study in chickpea

A Taheri-Garavand, A Nasiri, D Fanourakis, S Fatahi… - Plants, 2021‏ - mdpi.com
On-time seed variety recognition is critical to limit qualitative and quantitative yield loss and
asynchronous crop production. The conventional method is a subjective and error-prone …

Rapid and non-destructive classification of new and aged maize seeds using hyperspectral image and chemometric methods

Z Wang, W Huang, X Tian, Y Long, L Li… - Frontiers in Plant …, 2022‏ - frontiersin.org
The aged seeds have a significant influence on seed vigor and corn growth. Therefore, it is
vital for the planting industry to identify aged seeds. In this study, hyperspectral reflectance …

Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging

N Susič, U Žibrat, S Širca, P Strajnar, J Razinger… - Sensors and actuators B …, 2018‏ - Elsevier
Crop plants are subjected to various biotic and abiotic stresses. Both root-knot nematodes
(biotic stress) and water deficiency (abiotic stress) lead to similar drought symptoms in the …

[HTML][HTML] A review of recent advances in computer-aided detection methods using hyperspectral imaging engineering to detect skin cancer

HY Huang, YP Hsiao, R Karmakar, A Mukundan… - Cancers, 2023‏ - mdpi.com
Simple Summary Recent advancements in this field have shown continuous improvement,
with CAD algorithms enhancing diagnosis accuracy. The study systematically analyzes …

Multispectral imaging–a new tool in seed quality assessment?

B Boelt, S Shrestha, Z Salimi, JR Jørgensen… - Seed Science …, 2018‏ - cambridge.org
Multispectral imaging is a new technology that is being deployed to assess seed quality
parameters. Examples of applications in the detection and identification of fungi on seeds …