High-throughput phenotyping of nematode cysts.

Chen, Long; Daub, Matthias; Luigs, Hans-Georg; Jansen, Marcus; Strauch, Martin; Merhof, Dorit

Chen, Long; Daub, Matthias; Luigs, Hans-Georg; Jansen, Marcus; Strauch, Martin; Merhof, Dorit.

Afiliación

Chen L; Institute of Imaging and Computer Vision (LfB), RWTH Aachen University, Aachen, Germany.
Daub M; Federal Research Center for Cultivated Plants, Julius Kühn Institute (JKI), Elsdorf, Germany.
Luigs HG; LemnaTec GmbH, Aachen, Germany.
Jansen M; LemnaTec GmbH, Aachen, Germany.
Strauch M; Institute of Imaging and Computer Vision (LfB), RWTH Aachen University, Aachen, Germany.
Merhof D; Institute of Imaging and Computer Vision (LfB), RWTH Aachen University, Aachen, Germany.

Front Plant Sci ; 13: 965254, 2022.

Article en En | MEDLINE | ID: mdl-36186075

Palabras clave

CNN; Heterodera schachtii; nematode cyst; nematode infestation; phenotyping; sugar beet

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza

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