Automatic Classification of the Ripeness Stage of Mango Fruit Using a Machine Learning Approach

Automatic Classification of the Ripeness Stage of Mango Fruit Using a Machine Learning Approach

Most mango farms classify the maturity stage manually by trained workers using external indicators such as size, shape, and skin color, which can lead to human error or inconsistencies. We developed four common machine learning (ML) classifiers, the k-mean, naïve Bayes, support vector machine, and f...

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Detalles Bibliográficos
Autores principales: Denchai Worasawate, Panarit Sakunasinha, Surasak Chiangga
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2022-01-01
Colección:AgriEngineering
Materias:
mango
machine learning
ripeness
classification
k-means
support vector machine
Acceso en línea:https://www.mdpi.com/2624-7402/4/1/3

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