[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 …
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
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 …
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 …
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
Hyperspectral imaging is built with the aggregation of imaging, spectroscopy and
radiometric techniques. This technique observes the sample behaviour when it is exposed …
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
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 …
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 …
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
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 …
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 …
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
Fungi can grow on many food commodities. Some fungal species, such as Aspergillus
flavus, Aspergillus parasiticus, Aspergillus niger and Fusarium spp., can produce, under …
flavus, Aspergillus parasiticus, Aspergillus niger and Fusarium spp., can produce, under …
Detection of insect-damaged wheat kernels using near-infrared hyperspectral imaging
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 …
important degrading factors in Canada. The potential of near-infrared (NIR) hyperspectral …