[HTML][HTML] Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

D Saha, A Manickavasagan - Current Research in Food Science, 2021 - Elsevier
Non-destructive testing techniques have gained importance in monitoring food quality over
the years. Hyperspectral imaging is one of the important non-destructive quality testing …

Application of hyperspectral imaging in food safety inspection and control: a review

YZ Feng, DW Sun - Critical reviews in food science and nutrition, 2012 - Taylor & Francis
Food safety is a great public concern, and outbreaks of food-borne illnesses can lead to
disturbance to the society. Consequently, fast and nondestructive methods are required for …

Hyperspectral imaging for seed quality and safety inspection: A review

L Feng, S Zhu, F Liu, Y He, Y Bao, C Zhang - Plant methods, 2019 - Springer
Hyperspectral imaging has attracted great attention as a non-destructive and fast method for
seed quality and safety assessment in recent years. The capability of this technique for …

Extraction of spectral information from hyperspectral data and application of hyperspectral imaging for food and agricultural products

L Ravikanth, DS Jayas, NDG White, PG Fields… - Food and bioprocess …, 2017 - Springer
Hyperspectral imaging is built with the aggregation of imaging, spectroscopy and
radiometric techniques. This technique observes the sample behaviour when it is exposed …

Mycotoxins in Sub-Saharan Africa: Present situation, socio-economic impact, awareness, and outlook

P Udomkun, AN Wiredu, M Nagle, R Bandyopadhyay… - Food Control, 2017 - Elsevier
Many studies have reported the occurrence of mycotoxin in human foods and animal feeds
in Sub-Saharan Africa (SSA). Aflatoxins, ochratoxins, fumonisins, and zearalenone are …

[HTML][HTML] Potential application of hyperspectral imaging in food grain quality inspection, evaluation and control during bulk storage

NA Aviara, JT Liberty, OS Olatunbosun… - Journal of Agriculture …, 2022 - Elsevier
The presence of impurities in food grains greatly impact their grades and quality as well as
their overall acceptance. Additionally, bulk grains storage is subject to deterioration and …

The potential and applicability of infrared spectroscopic methods for the rapid screening and routine analysis of mycotoxins in food crops

S Freitag, M Sulyok, N Logan… - … Reviews in Food …, 2022 - Wiley Online Library
Infrared (IR) spectroscopy is increasingly being used to analyze food crops for quality and
safety purposes in a rapid, nondestructive, and eco‐friendly manner. The lack of sensitivity …

Potential of near-infrared (NIR) spectroscopy and hyperspectral imaging for quality and safety assessment of fruits: An overview

I Chandrasekaran, SS Panigrahi, L Ravikanth… - Food Analytical …, 2019 - Springer
Daily consumption of fruits has rendered sophisticated techniques for accurate evaluation of
its quality and how it can be initiated in a more rapid way has become a state-of-art for the …

Early detection of toxigenic fungi on maize by hyperspectral imaging analysis

A Del Fiore, M Reverberi, A Ricelli, F Pinzari… - International journal of …, 2010 - Elsevier
Fungi can grow on many food commodities. Some fungal species, such as Aspergillus
flavus, Aspergillus parasiticus, Aspergillus niger and Fusarium spp., can produce, under …

Detection of insect-damaged wheat kernels using near-infrared hyperspectral imaging

CB Singh, DS Jayas, J Paliwal, NDG White - Journal of stored products …, 2009 - Elsevier
Insect damage in wheat adversely affects its quality and is considered one of the most
important degrading factors in Canada. The potential of near-infrared (NIR) hyperspectral …