Automatic Scoring of Rhizoctonia Crown and Root Rot Affected Sugar Beet Fields from Orthorectified UAV Images Using Machine Learning
Rhizoctonia crown and root rot (RCRR), caused by Rhizoctonia solani, can cause severe yield and quality losses in sugar beet. The most common strategy to control the disease is the development of resistant varieties. In the breeding process, field experiments with artificial inoculation are carried...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Plant disease. - 1997. - 108(2024), 3 vom: 04. März, Seite 711-724
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| 1. Verfasser: |
Ispizua Yamati, Facundo Ramón
(VerfasserIn) |
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| Weitere Verfasser: |
Günder, Maurice,
Barreto, Abel,
Bömer, Jonas,
Laufer, Daniel,
Bauckhage, Christian,
Mahlein, Anne-Katrin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | Plant disease
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| Schlagworte: | Journal Article
AutoML
CNN
multiclass classification
resistance breeding
time series
unmanned aerial vehicle
Sugars |
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