Hyperspectral Method Integrated with Machine Learning to Predict the Acidity and Soluble Solid Content Values of Kiwi Fruit During the Storage Period

Hyperspectral Method Integrated with Machine Learning to Predict the Acidity and Soluble Solid Content Values of Kiwi Fruit During the Storage Period

Non-destructive evaluation is advancing in examining the properties of fruits. Kiwi fruit stands out as one of the popular fruits globally. Due to the influence of various environmental factors and storage conditions, diligent checking and storage of this fruit are essential. Therefore, monitoring c...

Full description

Bibliographic Details
Main Authors: Mansourialam Amir, Rasekh Mansour, Ardabili Sina, Dadkhah Majid, Mosavi Amir
Format: Article
Language:English
Published: Sciendo 2024-12-01
Series:Acta Technologica Agriculturae
Subjects:
smart agriculture
fruit storage
machine learning
hyperspectral imaging
artificial intelligence
big data
data science
soft computing
sustainable development goals
quality control
Online Access:https://doi.org/10.2478/ata-2024-0025

Internet

https://doi.org/10.2478/ata-2024-0025

Similar Items