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 …

Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks

R Alfred, JH Obit, CPY Chin, H Haviluddin, Y Lim - Ieee Access, 2021 - ieeexplore.ieee.org
Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …

Comparison of machine learning algorithms for flood susceptibility mapping

ST Seydi, Y Kanani-Sadat, M Hasanlou, R Sahraei… - Remote Sensing, 2022 - mdpi.com
Floods are one of the most destructive natural disasters, causing financial and human losses
every year. As a result, reliable Flood Susceptibility Mapping (FSM) is required for effective …

Advances on water quality detection by uv-vis spectroscopy

Y Guo, C Liu, R Ye, Q Duan - Applied Sciences, 2020 - mdpi.com
Water resources are closely linked to human productivity and life. Owing to the deteriorating
water resources environment, accurate and rapid determination of the main water quality …

Rapid and non-destructive detection of natural mildew degree of postharvest Camellia oleifera fruit based on hyperspectral imaging

H Jiang, X Jiang, Y Ru, Q Chen, X Li, L Xu… - Infrared Physics & …, 2022 - Elsevier
Camellia oleifera fruit is a kind of popular woody oil crops in China, which is susceptible to
natural mildew damage during storage. This problem significantly depreciates its value and …

Application of near-infrared hyperspectral imaging for variety identification of coated maize kernels with deep learning

C Zhang, Y Zhao, T Yan, X Bai, Q Xiao, P Gao… - Infrared Physics & …, 2020 - Elsevier
Tracing the varieties of seeds is of great importance for the seed industry. Maize kernels for
planting are generally coated to protect kernels from fungi and insects. In this study, near …

Feasibility of identifying the authenticity of fresh and cooked mutton kebabs using visible and near-infrared hyperspectral imaging

H Jiang, W Yuan, Y Ru, Q Chen, J Wang… - Spectrochimica Acta Part …, 2022 - Elsevier
Mutton kebab is an attractive type of meat product with high nutritional value, and is favored
by consumers worldwide. However, mutton kebab is often subjected to adulteration due to …

Rapid and non-destructive classification of new and aged maize seeds using hyperspectral image and chemometric methods

Z Wang, W Huang, X Tian, Y Long, L Li… - Frontiers in Plant …, 2022 - frontiersin.org
The aged seeds have a significant influence on seed vigor and corn growth. Therefore, it is
vital for the planting industry to identify aged seeds. In this study, hyperspectral reflectance …

A new comprehensive quantitative index for the assessment of essential amino acid quality in beef using Vis-NIR hyperspectral imaging combined with LSTM

F Dong, Y Bi, J Hao, S Liu, W Yi, W Yu, Y Lv, J Cui, H Li… - Food Chemistry, 2024 - Elsevier
The quality of beef is usually predicted by measuring a single index rather than a
comprehensive index. To precisely determine the essential amino acid (EAA) contents in …

Multi-variable selection strategy based on near-infrared spectra for the rapid description of dianhong black tea quality

G Ren, J Ning, Z Zhang - Spectrochimica Acta Part A: Molecular and …, 2021 - Elsevier
The main objectives of the study are to understand and explore critical feature wavelengths
of the obtained near-infrared (NIR) data relating to dianhong black tea quality categories, we …