Crossmark

Feature-optimized convolutional modeling for predicting loquat soluble solids content from hyperspectral imaging with multi-algorithm wavelength selection

Crossref DOI link: https://doi.org/10.1007/s11694-025-04003-0

Published Online: 2026-01-17

Published Print: 2026-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Hailiang

Wei, Jingru

Xu, Hanxu

Luo, Wei

Liu, Xuemei https://orcid.org/0009-0001-2132-8422
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (No. 32260622)

Natural Science Foundation of Jiangxi Province (No. 20232ACB205026)
License Information

Text and Data Mining valid from 2026-01-17

Version of Record valid from 2026-01-17
More Information

Article History

Received: 16 September 2025

Accepted: 24 December 2025

First Online: 17 January 2026

Declarations

:

: The authors declare that there are no conflicts of interest related to the publication of this article.

Document is current

Any future updates will be listed below