Fast Detection of Tomato Sucker Using Semantic Segmentation Neural Networks Based on RGB-D Images.
- DOI
- 10.3390/s22145140
- Published
- 2022 Jul 8
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s22145140,
title = {Fast Detection of Tomato Sucker Using Semantic Segmentation Neural Networks Based on RGB-D Images.},
author = {Giang TTH and Khai TQ and Im DY and Ryoo YJ},
year = {2022},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s22145140},
url = {https://doi.org/10.3390/s22145140}
}RIS
TY - JOUR TI - Fast Detection of Tomato Sucker Using Semantic Segmentation Neural Networks Based on RGB-D Images. AU - Giang TTH AU - Khai TQ AU - Im DY AU - Ryoo YJ PY - 2022 JO - Sensors (Basel, Switzerland) DO - 10.3390/s22145140 UR - https://doi.org/10.3390/s22145140 ER -
APA
TTH, G., TQ, K., DY, I., & YJ, R. (2022). Fast Detection of Tomato Sucker Using Semantic Segmentation Neural Networks Based on RGB-D Images.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s22145140
Source records
- pubmed · retrieved 2026-11-10T13:26:57.019Z