[HTML][HTML] Current state of hyperspectral remote sensing for early plant disease detection: A review

A Terentev, V Dolzhenko, A Fedotov, D Eremenko - Sensors, 2022 - mdpi.com
The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …

[HTML][HTML] An overview of near infrared spectroscopy and its applications in the detection of genetically modified organisms

SI Sohn, S Pandian, YJ Oh, JLZ Zaukuu… - International Journal of …, 2021 - mdpi.com
Near-infrared spectroscopy (NIRS) has become a more popular approach for quantitative
and qualitative analysis of feeds, foods and medicine in conjunction with an arsenal of …

Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion

S Weng, P Tang, H Yuan, B Guo, S Yu, L Huang… - … Acta Part A: Molecular …, 2020 - Elsevier
The phenomena of rice adulteration and shoddy rice arise continuously in high-quality rice
and reduce the interests of producers, consumers and traders. Hyperspectral imaging (HSI) …

Rapid nondestructive detecting of wheat varieties and mixing ratio by combining hyperspectral imaging and ensemble learning

X Jiang, Y Bu, L Han, J Tian, X Hu, X Zhang, D Huang… - Food Control, 2023 - Elsevier
Wheat is the main raw material for brewing Chinese liquor, and differences in the wheat
varieties and mixing ratio will affect its quality and flavor. In this study, hyperspectral imaging …

A novel convolutional-recurrent hybrid network for sunn pest–damaged wheat grain detection

K Sabanci, MF Aslan, E Ropelewska… - Food analytical …, 2022 - Springer
The sunn pest–damaged (SPD) wheat grains negatively affect the flour quality and cause
yield loss. This study focuses on the detection of SPD wheat grains using deep learning …

CNN–SVM hybrid model for varietal classification of wheat based on bulk samples

MF Unlersen, ME Sonmez, MF Aslan, B Demir… - … Food Research and …, 2022 - Springer
Determining the variety of wheat is important to know the physical and chemical properties
which may be useful in grain processing. It also affects the price of wheat in the food …

Highly identification of keemun black tea rank based on cognitive spectroscopy: Near infrared spectroscopy combined with feature variable selection

G Ren, Y Wang, J Ning, Z Zhang - … Acta Part A: Molecular and Biomolecular …, 2020 - Elsevier
From the perspective of combating fraud issues and examining keemun black tea properties,
there was a contemporary urgent demand for a keemun black tea rankings identification …

A fast and effective way for authentication of Dendrobium species: 2DCOS combined with ResNet based on feature bands extracted by spectrum standard deviation

YG Ding, QZ Zhang, YZ Wang - Spectrochimica Acta Part A: Molecular and …, 2021 - Elsevier
Dendrobium Sw., as a traditional herb and function food with over 1500 years of history,
shows a significant effect in improving immunity and fatigue resistance. However, due of …

Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of Aphis gossypii Glover Infection in Cotton Leaves Using …

T Yan, W Xu, J Lin, L Duan, P Gao, C Zhang… - Frontiers in Plant …, 2021 - frontiersin.org
Cotton is a significant economic crop. It is vulnerable to aphids (Aphis gossypii Glovers)
during the growth period. Rapid and early detection has become an important means to deal …

Integration of spectroscopy and image for identifying fusarium damage in wheat kernels

D Zhang, G Chen, H Zhang, N **, C Gu… - … Acta Part A: Molecular …, 2020 - Elsevier
Hyperspectral imaging (HSI) was studied for the detection of varying degrees of damage in
wheat kernels caused by Fusarium head blight (Gibberella zeae), a major disease in wheat …