Hyperspectral imaging technique for evaluating food quality and safety during various processes: A review of recent applications

Y Liu, H Pu, DW Sun - Trends in food science & technology, 2017 - Elsevier
Background The quality of products depends on their processing. Effective way of
monitoring and controlling these processes will ensure the quality and safety of products …

Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review

V Cortés, J Blasco, N Aleixos, S Cubero… - Trends in Food Science & …, 2019 - Elsevier
Background The increasing demand for quality assurance in agro-food production requires
sophisticated analytical methods for in-line quality control. One of these techniques is visible …

Automatic evaluation of wheat resistance to fusarium head blight using dual mask-RCNN deep learning frameworks in computer vision

WH Su, J Zhang, C Yang, R Page, T Szinyei… - Remote sensing, 2020 - mdpi.com
In many regions of the world, wheat is vulnerable to severe yield and quality losses from the
fungus disease of Fusarium head blight (FHB). The development of resistant cultivars is one …

Convolutional neural networks in computer vision for grain crop phenotyping: A review

YH Wang, WH Su - Agronomy, 2022 - mdpi.com
Computer vision (CV) combined with a deep convolutional neural network (CNN) has
emerged as a reliable analytical method to effectively characterize and quantify high …

Total volatile basic nitrogen and trimethylamine in muscle foods: Potential formation pathways and effects on human health

AEDA Bekhit, SG Giteru, BWB Holman… - … Reviews in Food …, 2021 - Wiley Online Library
The use of total volatile basic nitrogen (TVB‐N) as a quality parameter for fish is rapidly
growing to include other types of meat. Investigations of meat quality have recently focused …

Advanced machine learning in point spectroscopy, RGB-and hyperspectral-imaging for automatic discriminations of crops and weeds: A review

WH Su - Smart Cities, 2020 - mdpi.com
Crop productivity is readily reduced by competition from weeds. It is particularly important to
control weeds early to prevent yield losses. Limited herbicide choices and increasing costs …

Fourier transform infrared and Raman and hyperspectral imaging techniques for quality determinations of powdery foods: A review

WH Su, DW Sun - … Reviews in Food Science and Food Safety, 2018 - Wiley Online Library
Fourier transform infrared (FT‐IR) and Raman and hyperspectral imaging (HSI) techniques
have emerged as reliable analytical methods for effectively characterizing and quantifying …

Detection of adulteration in food based on nondestructive analysis techniques: A review

Y He, X Bai, Q Xiao, F Liu, L Zhou… - Critical Reviews in Food …, 2021 - Taylor & Francis
In recent years, people pay more and more attention to food quality and safety, which are
significantly relating to human health. Food adulteration is a world-wide concerned issue …

[HTML][HTML] Assessment oil composition and species discrimination of Brassicas seeds based on hyperspectral imaging and portable near infrared (NIR) spectroscopy …

ML da Silva Medeiros, JP Cruz-Tirado, AF Lima… - Journal of Food …, 2022 - Elsevier
Brassica is a genus of oilseed plants mainly used to produce edible oils, modified lipids,
industrial oils, and biofuels. Oil and fatty acid content are the main chemical indicators for …

Automated characterization and identification of microplastics through spectroscopy and chemical imaging in combination with chemometric: Latest developments and …

Z Liu, W Wang, X Liu - TrAC Trends in Analytical Chemistry, 2023 - Elsevier
Numerous studies have been conducted to characterize and identify microplastics (MPs),
however, there is a lack of effective standardization and methodologies among different …