Field Grading of Longan SSC via Vis-NIR and Improved BP Neural Network

Field Grading of Longan SSC via Vis-NIR and Improved BP Neural Network

Soluble solids content (SSC) measurements are crucial for managing longan production and post-harvest handling. However, most traditional SSC detection methods are destructive, cumbersome, and unsuitable for field applications. This study proposes a novel field detection model (Brix-back propagation...

Full description

Bibliographic Details
Main Authors: Jun Li, Meiqi Zhang, Kaixuan Wu, Hengxu Chen, Zhe Ma, Juan Xia, Guangwen Huang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
nondestructive testing
longan
soluble solids content
visible-near-infrared spectroscopy
brix-back propagation neural network
Online Access:https://www.mdpi.com/2077-0472/14/12/2297

Internet

https://www.mdpi.com/2077-0472/14/12/2297

Similar Items