Predicting Daily Aerobiological Risk Level of Potato Late Blight Using C5.0 and Random Forest Algorithms under Field Conditions.

Meno, Laura; Escuredo, Olga; Abuley, Isaac K; Seijo, M Carmen

Meno, Laura; Escuredo, Olga; Abuley, Isaac K; Seijo, M Carmen.

Afiliación

Meno L; Department of Vegetal Biology and Soil Sciences, Faculty of Sciences, University of Vigo, 32004 Ourense, Spain.
Escuredo O; Department of Vegetal Biology and Soil Sciences, Faculty of Sciences, University of Vigo, 32004 Ourense, Spain.
Abuley IK; Department of Agroecology, Flakkebjerg Research Center, Aarhus University, Forsøgsvej 1, 4200 Aarhus, Denmark.
Seijo MC; Department of Vegetal Biology and Soil Sciences, Faculty of Sciences, University of Vigo, 32004 Ourense, Spain.

Sensors (Basel) ; 23(8)2023 Apr 08.

Article en En | MEDLINE | ID: mdl-37112159

Asunto(s)

Phytophthora infestans; Solanum tuberosum; Bosques Aleatorios; Estaciones del Año; Temperatura; Enfermedades de las Plantas

Palabras clave

Phytophthora infestans; Solanum tuberosum L.; aerobiology; infection pressure; machine learning; weather factors

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Solanum tuberosum / Phytophthora infestans Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: España

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