Development of sugarcane and trash identification system in sugar production using hyperspectral imaging
Author:
Affiliation:
1. Faculty of Agriculture, University of the Ryukyus, Okinawa, Japan
2. Faculty of Engineering, Khon Kaen University, Khon Kaen, Thailand
3. United Graduate School of Agricultural Sciences, Kagoshima University, Kagoshima, Japan
Abstract
Publisher
SAGE Publications
Subject
Spectroscopy
Link
http://journals.sagepub.com/doi/pdf/10.1177/0967033520905369
Reference13 articles.
1. Sugarcane cultivation and sugar industry in Japan
2. Hyperspectral Imaging as a Rapid Quality Control Method for Herbal Tea Blends
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1. Detection of breakage and impurity ratios for raw sugarcane based on estimation model and MDSC-DeepLabv3+;Frontiers in Plant Science;2023-11-08
2. Measurement of Trash Percentage for Mechanical Harvested Sugarcane Using Multispectral Image;2023 10th International Conference on Electrical and Electronics Engineering (ICEEE);2023-05-08
3. Quality Classification and Segmentation of Sugarcane Billets Using Machine Vision;2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA);2022-11-30
4. Improved evaluation of commercial cane sugar content in sugarcane stalk using near infrared hyperspectral imaging and stalk axis rotation technique;Biosystems Engineering;2022-11
5. Non-destructive Laboratory Analysis of the Detection of Unhealthy Sugarcane Stalks Using a Portable Vis-NIR Spectrometer;Engineering in Agriculture, Environment and Food;2022
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