Flower Mapping in Grasslands With Drones and Deep Learning.

Gallmann, Johannes; Schüpbach, Beatrice; Jacot, Katja; Albrecht, Matthias; Winizki, Jonas; Kirchgessner, Norbert; Aasen, Helge

Gallmann, Johannes; Schüpbach, Beatrice; Jacot, Katja; Albrecht, Matthias; Winizki, Jonas; Kirchgessner, Norbert; Aasen, Helge.

Afiliação

Gallmann J; Department of Computer Science, ETH Zürich, Zurich, Switzerland.
Schüpbach B; Agricultural Landscape and Biodiversity Group, Agroscope, Zurich, Switzerland.
Jacot K; Agricultural Landscape and Biodiversity Group, Agroscope, Zurich, Switzerland.
Albrecht M; Agricultural Landscape and Biodiversity Group, Agroscope, Zurich, Switzerland.
Winizki J; Agricultural Landscape and Biodiversity Group, Agroscope, Zurich, Switzerland.
Kirchgessner N; Department of Agricultural Science, ETH Zürich, Zurich, Switzerland.
Aasen H; Department of Agricultural Science, ETH Zürich, Zurich, Switzerland.

Front Plant Sci ; 12: 774965, 2021.

Article em En | MEDLINE | ID: mdl-35222449

Palavras-chave

abundance mapping; aerial image; faster R-CNN; machine learning; meadow; object detection; remotely piloted aerial vehicles (RPAS); unmanned aerial vehicle (UAV)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article