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A method for classifying the physicochemical quality of soybean grains using near-infrared spectroscopy, hyperspectral sensor technology, and artificial intelligence models

Crossref DOI link: https://doi.org/10.1007/s00217-026-05079-8

Published Online: 2026-03-06

Published Print: 2026-04

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

Authors

Leal, Marisa Menezes

dos Santos Bilhalva, Nairiane

de Moraes, Rosana Santos

Santana, Dthenifer Cordeiro

Teodoro, Larissa Pereira Ribeiro

Teodoro, Paulo Eduardo

Coradi, Paulo Carteri
Funding

Funding for this research was provided by:

Universidade Federal De Santa Maria
License Information

Text and Data Mining valid from 2026-03-06

Version of Record valid from 2026-03-06
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Article History

Received: 23 July 2025

Revised: 3 January 2026

Accepted: 31 January 2026

First Online: 6 March 2026

Declarations

:

: The authors declare no competing interests.

: All authors were compliant and followed the ethical guidelines, according to the requirements of European Food Research and Technology.

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