Identification of Internal Defects in Potato Using Spectroscopy and Computational Intelligence Based on Majority Voting Techniques.

Imanian, Kamal; Pourdarbani, Razieh; Sabzi, Sajad; García-Mateos, Ginés; Arribas, Juan Ignacio; Molina-Martínez, José Miguel

Imanian, Kamal; Pourdarbani, Razieh; Sabzi, Sajad; García-Mateos, Ginés; Arribas, Juan Ignacio; Molina-Martínez, José Miguel.

Afiliación

Imanian K; Department of Biosystems Engineering, College of Agriculture, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran.
Pourdarbani R; Department of Biosystems Engineering, College of Agriculture, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran.
Sabzi S; Department of Biosystems Engineering, College of Agriculture, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran.
García-Mateos G; Computer Science and Systems Department, University of Murcia, 30100 Murcia, Spain.
Arribas JI; Department of Electrical Engineering, University of Valladolid, 47011 Valladolid, Spain.
Molina-Martínez JM; Castilla-Leon Neuroscience Institute, University of Salamanca, 37007 Salamanca, Spain.

Foods ; 10(5)2021 Apr 30.

Article en En | MEDLINE | ID: mdl-33946235

Palabras clave

internal defect; majority voting; potato; spectroscopy

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Foods Año: 2021 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Suiza

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