Application of machine vision and convolutional neural networks in discriminating tobacco leaf maturity on mobile devices
As harvesting at the right time is crucial to ensuring the best quality and maximizing the yield of tobacco leaves, great attention has been paid to the research of “harvest maturity”. Fresh tobacco leaves can be manually categorized into four maturity stages, including immature, pseudomature, matur...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S277237552300151X |