Detection of <i>Drechslera avenae</i> (Eidam) Sharif [<i>Helminthosporium avenae</i> (Eidam)] in Black Oat Seeds (<i>Avena strigosa</i> Schreb) Using Multispectral Imaging

Conventional methods for detecting seed-borne fungi are laborious and time-consuming, requiring specialized analysts for characterization of pathogenic fungi on seed. Multispectral imaging (MSI) combined with machine vision was used as an alternative method to detect <i>Drechslera avenae</i...

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Hlavní autoři: Fabiano França-Silva, Carlos Henrique Queiroz Rego, Francisco Guilhien Gomes-Junior, Maria Heloisa Duarte de Moraes, André Dantas de Medeiros, Clíssia Barboza da Silva
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2020-06-01
Edice:Sensors
Témata:
machine vision
<i>Pyrenophora avenae</i>
reflectance
seed quality
seed pathology
On-line přístup:https://www.mdpi.com/1424-8220/20/12/3343
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