Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series

While annual crop rotations play a crucial role for agricultural optimization, they have been largely ignored for automated crop type mapping. In this paper, we take advantage of the increasing quantity of annotated satellite data to propose to model simultaneously the inter- and intra-annual agricu...

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Autores principales: Félix Quinton, Loic Landrieu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/3708c8d3953d49599511664b065a24b9
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