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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Autores principales: Abozar Nasirahmadi, Ulrike Wilczek, Oliver Hensel
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/40693519b1c048b0b2786d0e858e90bd
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