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 …

A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging

J Zhang, R Su, Q Fu, W Ren, F Heide, Y Nie - Scientific reports, 2022 - nature.com
Hyperspectral imaging enables many versatile applications for its competence in capturing
abundant spatial and spectral information, which is crucial for identifying substances …

A novel hyperspectral image classification model using bole convolution with three-direction attention mechanism: small sample and unbalanced learning

W Cai, X Ning, G Zhou, X Bai, Y Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Currently, the use of rich spectral and spatial information of hyperspectral images (HSIs) to
classify ground objects is a research hotspot. However, the classification ability of existing …

Recent advances in counterfeit art, document, photo, hologram, and currency detection using hyperspectral imaging

SY Huang, A Mukundan, YM Tsao, Y Kim, FC Lin… - Sensors, 2022 - mdpi.com
Forgery and tampering continue to provide unnecessary economic burdens. Although new
anti-forgery and counterfeiting technologies arise, they inadvertently lead to the …

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 …

[HTML][HTML] Comparative analysis of hyperspectral image reconstruction using deep learning for agricultural and biological applications

MT Ahmed, A Villordon, M Kamruzzaman - Results in Engineering, 2024 - Elsevier
Hyperspectral imaging (HSI) has become a key technology for non-invasive quality
evaluation in various fields, offering detailed insights through spatial and spectral data …

Spectrum imaging for phenotypic detection of greenhouse vegetables: A review

X Gao, S Li, Y He, Y Yang, Y Tian - Computers and Electronics in …, 2024 - Elsevier
Greenhouse vegetables have become increasingly important in global crop production due
to their ability to be cultivated out of season and ensure a year-round supply of vegetables …

Deep-learning-based multispectral image reconstruction from single natural color RGB image—Enhancing UAV-based phenoty**

J Zhao, A Kumar, BN Banoth, B Marathi… - Remote Sensing, 2022 - mdpi.com
Multispectral images (MSIs) are valuable for precision agriculture due to the extra spectral
information acquired compared to natural color RGB (ncRGB) images. In this paper, we thus …

Identification of geographical origin of beef by visible-near infrared hyperspectral recovery from color images

W Yi, X Zhao, X Yun, G Borjigin, T Dong - Journal of Food Composition and …, 2024 - Elsevier
Hyperspectral imaging technology has potential in meat origin authentication. However, the
high device costs, long imaging time and low hyperspectral image resolution are major …

Detection of fungal infection in apple using hyperspectral transformation of RGB images with kernel regression

G Zhu, S Zheng, Q Xu, M Qiu, H Wang… - Postharvest Biology and …, 2023 - Elsevier
Fungal infections cause the considerable losses in apple production and quality. Given its
ability to perceive external and internal characteristics, hyperspectral imaging (HSI) performs …