Defective Pennywort Leaf Detection Using Machine Vision and Mask R-CNN Model
Demand and market value for pennywort largely depend on the quality of the leaves, which can be affected by various ambient environment or fertigation variables during cultivation. Although early detection of defects in pennywort leaves would enable growers to take quick action, conventional manual...
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| Päätekijät: | , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2024-10-01
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| Sarja: | Agronomy |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2073-4395/14/10/2313 |
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