A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture

JGA Barbedo - Computers and Electronics in Agriculture, 2023 - Elsevier
Hyperspectral images can capture the spectral characteristics of surfaces and objects,
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …

[HTML][HTML] Feature construction methods for processing and analysing spectral images and their applications in food quality inspection

H Pu, J Yu, DW Sun, Q Wei, Z Wang - Trends in Food Science & …, 2023 - Elsevier
Background Hyperspectral imaging (HSI) technology fusing spectroscopic technology and
imaging technology has been proposed to achieve rapid and non-destructive inspection of …

Plant disease detection and classification method based on the optimized lightweight YOLOv5 model

H Wang, S Shang, D Wang, X He, K Feng, H Zhu - Agriculture, 2022 - mdpi.com
Traditional plant disease diagnosis methods are mostly based on expert diagnosis, which
easily leads to the backwardness of crop disease control and field management. In this …

SAM-GAN: An improved DCGAN for rice seed viability determination using near-infrared hyperspectral imaging

H Qi, Z Huang, B Jin, Q Tang, L Jia, G Zhao… - … and Electronics in …, 2024 - Elsevier
Viability is a significant indicator of rice seeds, affecting rice yield and quality. Existing
viability determination methods cannot meet the requirements of rapidity, non-destructive …

Predicting TFe content and sorting iron ores from hyperspectral image by variational mode decomposition-based spectral feature

C Nie, J Jiang, J Deng, K Li, L Jia, T Sun - Journal of Cleaner Production, 2023 - Elsevier
During iron ore processing, accurately predicting the total iron (TFe) content in the ore is
important for highly efficient and accurate sorting, which can reduce dust pollution, energy …

A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing

L Shuai, Z Li, Z Chen, D Luo, J Mu - Computers and Electronics in …, 2024 - Elsevier
Efficient and automated data acquisition techniques, as well as intelligent and accurate data
processing and analysis techniques, are essential for the advancement of precision …

Detection of maize seed germination rate based on improved locally linear embedding

S Liu, Z Chen, F Jiao - Computers and Electronics in Agriculture, 2023 - Elsevier
Locally linear embedding (LLE) is a nonlinear dimensionality reduction method, which has
great advantages over linear dimensionality reduction methods. However, the traditional …

Physiological alterations and nondestructive test methods of crop seed vigor: A comprehensive review

M Xing, Y Long, Q Wang, X Tian, S Fan, C Zhang… - Agriculture, 2023 - mdpi.com
Seed vigor is one of the essential contents of agricultural research. The decline of seed vigor
is described as an inevitable process. Recent studies have shown that the oxidative damage …

Identification and Classification of Coix seed Storage Years Based on Hyperspectral Imaging Technology Combined with Deep Learning

R Bai, J Zhou, S Wang, Y Zhang, T Nan, B Yang… - Foods, 2024 - mdpi.com
Developing a fast and non-destructive methodology to identify the storage years of Coix
seed is important in safeguarding consumer well-being. This study employed the utilization …

FHIC: Fast hyperspectral image classification model using ETR dimensionality reduction and ELU activation function

D Al-Alimi, Z Cai, MAA Al-qaness - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hyperspectral images (HSIs) are typically utilized in a wide variety of practical applications.
HSI is replete with spatial and spectral information, which provides precise data for material …