Disease Incidence and Severity of Cercospora Leaf Spot in Sugar Beet Assessed by Multispectral Unmanned Aerial Images and Machine Learning.

Barreto, Abel; Ispizua Yamati, Facundo Ramón; Varrelmann, Mark; Paulus, Stefan; Mahlein, Anne-Katrin

Barreto, Abel; Ispizua Yamati, Facundo Ramón; Varrelmann, Mark; Paulus, Stefan; Mahlein, Anne-Katrin.

Afiliação

Barreto A; Institute of Sugar Beet Research, 37079 Göttingen, Germany.
Ispizua Yamati FR; Institute of Sugar Beet Research, 37079 Göttingen, Germany.
Varrelmann M; Institute of Sugar Beet Research, 37079 Göttingen, Germany.
Paulus S; Institute of Sugar Beet Research, 37079 Göttingen, Germany.
Mahlein AK; Institute of Sugar Beet Research, 37079 Göttingen, Germany.

Plant Dis ; 107(1): 188-200, 2023 Jan.

Article em En | MEDLINE | ID: mdl-35581914

Assuntos

Beta vulgaris; Cercospora; Humanos; Incidência; Melhoramento Vegetal; Verduras; Açúcares

Palavras-chave

automatic scoring; digital surface model; multiclass classification; partial least squares discriminant analysis; support vector machine radial; time-series; unmanned aerial vehicle

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Beta vulgaris / Cercospora Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Plant Dis Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

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