[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 …

Advances in analysis and detection of major mycotoxins in foods

S Agriopoulou, E Stamatelopoulou, T Varzakas - Foods, 2020 - mdpi.com
Mycotoxins are the most widely studied biological toxins, which contaminate foods at very
low concentrations. This review describes the emerging extraction techniques and the …

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 …

Detection of fusarium head blight in wheat using a deep neural network and color imaging

R Qiu, C Yang, A Moghimi, M Zhang, BJ Steffenson… - Remote Sensing, 2019 - mdpi.com
Fusarium head blight (FHB) is a devastating disease of wheat worldwide. In addition to
reducing the yield of the crop, the causal pathogens also produce mycotoxins that can …

Use of hyperspectral imaging as a tool for Fusarium and deoxynivalenol risk management in cereals: A review

A Femenias, F Gatius, AJ Ramos, V Sanchis, S Marín - Food Control, 2020 - Elsevier
Hyperspectral imaging (HSI) is an emergent, rapid, cost-effective and non-destructive
technique in which the spectral data are obtained for each pixel location in a sample's …

Discrimination of unsound wheat kernels based on deep convolutional generative adversarial network and near-infrared hyperspectral imaging technology

H Li, L Zhang, H Sun, Z Rao, H Ji - … Acta Part A: Molecular and Biomolecular …, 2022 - Elsevier
The quality of wheat kernels is critical to ensure crop yields. However, in actual breeding
work, unsound kernels are scarce compared to healthy kernels. Limited data sets or …

Practicability investigation of using near-infrared hyperspectral imaging to detect rice kernels infected with rice false smut in different conditions

N Wu, H Jiang, Y Bao, C Zhang, J Zhang… - Sensors and Actuators B …, 2020 - Elsevier
Rice false smut (RFS) is a devastating seed-brone rice disease in many rice-growing
countries, endangering the health of rice germplasm resources and reducing the yield and …

Integrating spectral and image data to detect Fusarium head blight of wheat

DY Zhang, G Chen, X Yin, RJ Hu, CY Gu… - … and Electronics in …, 2020 - Elsevier
Fusarium head blight (FHB), caused by the fungus Gibberella zeae, infects spikelets on
wheat heads and can cause significant yield and quality losses in wheat. Application of …

Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset

K Najafian, L Jin, HR Kutcher… - Proceedings of the …, 2023 - openaccess.thecvf.com
Fusarium head blight, caused by Fusarium spp., is a destructive disease of wheat
worldwide. Fusarium damaged kernels (FDKs) significantly reduce grain yield and quality …

Reflectance images of effective wavelengths from hyperspectral imaging for identification of Fusarium head blight-infected wheat kernels combined with a residual …

S Weng, K Han, Z Chu, G Zhu, C Liu, Z Zhu… - … and Electronics in …, 2021 - Elsevier
Identification of the Fusarium head blight (FHB) infection degree of wheat kernels is
important to customise the reasonable use of wheat kernels and ensure food safety. In this …