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A novel deep learning-based tobacco impurities detection method on hyperspectral data that progressively extracts multi-scale discriminant features and ...
This study proposes a method based on hyperspectral image superpixels and the use of light gradient boosting machine (LightGBM) classifier to categorize tobacco ...
In this paper, a classification method of tobacco leaves and impurities is presented, which is based on hyperspectral imaging technology.
Apr 16, 2024 · This study introduces the Spectral-Spatial Network (SSNet), which is specifically optimized for rapid and precise detection of impurities in tobacco stems.
Missing: Segmentation | Show results with:Segmentation
The technology for removing impurities like tobacco's density and color, which are difficult to remove using traditional techniques, is not yet mature.
Mar 8, 2023 · Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods
Missing: Segmentation | Show results with:Segmentation
Apr 23, 2024 · This study introduces the Spectral-Spatial Network. (SSNet), which is specifically optimized for rapid and precise detection of impurities in ...
Aug 1, 2024 · This study proposes a novel method based on spectral imaging technology to identify impurities in Puer tea.
Missing: Tobacco | Show results with:Tobacco
In this study, we developed a multimodal imaging-based impurity detection system having complementary capabilities for efficient detection, which included a ...
Jun 26, 2020 · Foreign body detection is an important aspect that affects the quality of tobacco production. This paper describes a direct foreign body ...