Machine learning techniques applied to forecast Black Sigatoka disease development rate using meteorological data

Luis-Alexander Calvo-Valverde; Mauricio Guzman Quesada; Jose-Antonio Guzman Alvarez; Pablo Alvarado-Moya

Machine learning techniques applied to forecast Black Sigatoka disease development rate using meteorological data

Luis-Alexander Calvo-Valverde
, Mauricio Guzman Quesada
, Jose-Antonio Guzman Alvarez
, Pablo Alvarado-Moya

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	English
Pages (from-to)	16-16
Number of pages	1
Journal	Phytopathology
Volume	107
Issue number	7
State	Published - Jul 2017

Cite this

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title = "Machine learning techniques applied to forecast Black Sigatoka disease development rate using meteorological data",

author = "Luis-Alexander Calvo-Valverde and \{Guzman Quesada\}, Mauricio and \{Guzman Alvarez\}, Jose-Antonio and Pablo Alvarado-Moya",

year = "2017",

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AU - Calvo-Valverde, Luis-Alexander

AU - Guzman Quesada, Mauricio

AU - Guzman Alvarez, Jose-Antonio

AU - Alvarado-Moya, Pablo

PY - 2017/7

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SP - 16

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JO - Phytopathology

JF - Phytopathology

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Machine learning techniques applied to forecast Black Sigatoka disease development rate using meteorological data

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