Assessment of Various Machine Learning Models for Peach Maturity Prediction Using Non-Destructive Sensor Data

Assessment of Various Machine Learning Models for Peach Maturity Prediction Using Non-Destructive Sensor Data

To date, many machine learning models have been used for peach maturity prediction using non-destructive data, but no performance comparison of the models on these datasets has been conducted. In this study, eight machine learning models were trained on a dataset containing data from 180 ‘Suncrest’...

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Bibliographic Details
Main Authors: Dejan Ljubobratović, Marko Vuković, Marija Brkić Bakarić, Tomislav Jemrić, Maja Matetić
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
machine learning
AUC
peach maturity prediction
artificial neural networks
fruit quality
non-destructive measurements
Online Access:https://www.mdpi.com/1424-8220/22/15/5791

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