Performance Improvement of Partial Least Squares Regression Soluble Solid Content Prediction Model Based on Adjusting Distance between Light Source and Spectral Sensor according to Apple Size

Performance Improvement of Partial Least Squares Regression Soluble Solid Content Prediction Model Based on Adjusting Distance between Light Source and Spectral Sensor according to Apple Size

Apples are widely cultivated in the Republic of Korea and are preferred by consumers for their sweetness. Soluble solid content (SSC) is measured non-destructively using near-infrared (NIR) spectroscopy; however, the SSC measurement error increases with the change in apple size since the distance be...

Full description

Bibliographic Details
Main Authors: Doo-Jin Song, Seung-Woo Chun, Min-Jee Kim, Soo-Hwan Park, Chi-Kook Ahn, Changyeun Mo
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
apple size
soluble solid content
visible near-infrared spectroscopy
partial least squares regression
optimal distance
Online Access:https://www.mdpi.com/1424-8220/24/2/316

Similar Items

Similar Items