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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Bibliographic Details
Main Authors: Denchai Worasawate, Panarit Sakunasinha, Surasak Chiangga
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:AgriEngineering
Subjects:
mango
machine learning
ripeness
classification
k-means
support vector machine
Online Access:https://www.mdpi.com/2624-7402/4/1/3

Internet

https://www.mdpi.com/2624-7402/4/1/3

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