Intelligent large-scale flue-cured tobacco grading based on deep densely convolutional network
Abstract Flue-cured tobacco grading plays a crucial role in tobacco leaf purchase and the formulation of tobacco leaf groups. However, the traditional flue-cured tobacco grading mode is usually manual, which is time-consuming, laborious, and subjective. Hence, it is essential to research more effici...
| Published in: | Scientific Reports |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-07-01
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| Online Access: | https://doi.org/10.1038/s41598-023-38334-z |
