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 …
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …
Variety identification of sweet maize seeds based on hyperspectral imaging combined with deep learning
Y Wang, S Song - Infrared Physics & Technology, 2023 - Elsevier
Seed classification and identification is of great importance for cultivar breeding. In this
study, hyperspectral imaging technique combined with deep learning approaches are …
study, hyperspectral imaging technique combined with deep learning approaches are …
Open set maize seed variety classification using hyperspectral imaging coupled with a dual deep SVDD-based incremental learning framework
Rapid and non-destructive classification of seed varieties is one of the important goals
pursued by modern seed industry. Due to the large number of maize varieties in practice …
pursued by modern seed industry. Due to the large number of maize varieties in practice …
Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network
Background Pumpkin seeds are major oil crops with high nutritional value and high oil
content. The collection and identification of different pumpkin germplasm resources play a …
content. The collection and identification of different pumpkin germplasm resources play a …
A hyperspectral band selection method based on sparse band attention network for maize seed variety identification
The development of a real-time online system for rapid and nondestructive identification of
seed varieties can greatly improve production efficiency in modern agriculture …
seed varieties can greatly improve production efficiency in modern agriculture …
Quality grading method for Pleurotus eryngii during postharvest storage based on hyperspectral imaging and multiple quality indicators
Z Wei, H Liu, J Xu, Y Li, J Hu, S Tian - Food Control, 2024 - Elsevier
During storage, Pleurotus eryngii is prone to spoilage, significantly affecting their
commercial value. This study addresses the issue of inconsistent quality grading standards …
commercial value. This study addresses the issue of inconsistent quality grading standards …
[HTML][HTML] Rapid analysis technologies with chemometrics forfood authenticity field: A review
Z Zhang, Y Li, S Zhao, M Qie, L Bai, Z Gao… - Current Research in …, 2024 - Elsevier
In recent years, the problem of food adulteration has become increasingly rampant,
seriously hindering the development of food production, consumption, and management …
seriously hindering the development of food production, consumption, and management …
Maize seed fraud detection based on hyperspectral imaging and one-class learning
Premium maize varieties are the focus of attention of farmers, breeders, food manufacturers,
and people in other industries. Maize seed fraud causes huge financial losses to these …
and people in other industries. Maize seed fraud causes huge financial losses to these …
Development of a general prediction model of moisture content in maize seeds based on LW-NIR hyperspectral imaging
Z Wang, J Li, C Zhang, S Fan - Agriculture, 2023 - mdpi.com
Moisture content (MC) is one of the important indexes to evaluate maize seed quality. Its
accurate prediction is very challenging. In this study, the long-wave near-infrared …
accurate prediction is very challenging. In this study, the long-wave near-infrared …
Identification of chrysanthemum using hyperspectral imaging based on few-shot class incremental learning
Z Cai, M He, C Li, H Qi, R Bai, J Yang… - Computers and Electronics …, 2023 - Elsevier
Chrysanthemum, a traditional Chinese medicine, possesses diverse pharmacological
effects with a myriad of origins and varieties. Due to the difficulty of acquiring and modeling …
effects with a myriad of origins and varieties. Due to the difficulty of acquiring and modeling …