Sugar Beet Damage Detection during Harvesting Using Different Convolutional Neural Network Models
Mechanical damages of sugar beet during harvesting affects the quality of the final products and sugar yield. The mechanical damage of sugar beet is assessed randomly by operators of harvesters and can depend on the subjective opinion and experience of the operator due to the complexity of the harve...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
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MDPI AG
2021
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| Accès en ligne: | https://doaj.org/article/40693519b1c048b0b2786d0e858e90bd |
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