Prediction of the ripening stages of papayas using discriminant analysis and support vector machine algorithms.

Zulkifli, Nurazwin; Hashim, Norhashila; Harith, Hazreen Haizi; Mohamad Shukery, Mohamad Firdza; Onwude, Daniel I

Zulkifli, Nurazwin; Hashim, Norhashila; Harith, Hazreen Haizi; Mohamad Shukery, Mohamad Firdza; Onwude, Daniel I.

Afiliación

Zulkifli N; Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
Hashim N; Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
Harith HH; SMART Farming Technology Research Centre (SFTRC), Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
Mohamad Shukery MF; Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
Onwude DI; SMART Farming Technology Research Centre (SFTRC), Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.

J Sci Food Agric ; 102(8): 3266-3276, 2022 Jun.

Article en En | MEDLINE | ID: mdl-34802158

Asunto(s)

Carica; Algoritmos; Carica/química; Análisis Discriminante; Frutas/química; Máquina de Vectores de Soporte

Palabras clave

machine learning algorithms; machine vision system; mechanical properties; papayas; physicochemical properties; ripening stages

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carica Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Sci Food Agric Año: 2022 Tipo del documento: Article País de afiliación: Malasia Pais de publicación: Reino Unido

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