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Physical and Physicochemical Classification of Parboiled Rice Using VNIR-SWIR Spectroscopy and Machine Learning

Nairiane dos Santos BILHALVA Paulo Carteri CORADI Rosana Santos de MORAES Dthenifer Cordeiro SANTANA Larissa Ribeiro TEODORO Paulo Eduardo TEODORO Marisa Menezes LEAL

Rice science2025，Vol.32Issue(6)：P.857-867,I0051,I0052,13.

Rice science2025，Vol.32Issue(6)：P.857-867,I0051,I0052,13.DOI:10.1016/j.rsci.2025.08.007

Physical and Physicochemical Classification of Parboiled Rice Using VNIR-SWIR Spectroscopy and Machine Learning

Nairiane dos Santos BILHALVA ¹Paulo Carteri CORADI ²Rosana Santos de MORAES ¹Dthenifer Cordeiro SANTANA ²Larissa Ribeiro TEODORO ²Paulo Eduardo TEODORO ²Marisa Menezes LEAL¹

作者信息

1. Laboratory of Postharvest,Campus Cachoeira do Sul,Federal University of Santa Maria,Cachoeira do Sul,Rio Grande do Sul 96506-322,Brazil
2. Campus de Chapadão do Sul,Federal University of Mato Grosso do Sul,Chapadão do Sul,Mato Grosso do Sul 79560-000,Brazil
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摘要

关键词

Oryza sativa L./artificial intelligence/supervised classification/support vector machine/logistic regression

分类

农业科技

引用本文复制引用

Nairiane dos Santos BILHALVA,Paulo Carteri CORADI,Rosana Santos de MORAES,Dthenifer Cordeiro SANTANA,Larissa Ribeiro TEODORO,Paulo Eduardo TEODORO,Marisa Menezes LEAL..Physical and Physicochemical Classification of Parboiled Rice Using VNIR-SWIR Spectroscopy and Machine Learning[J].Rice science,2025,32(6):P.857-867,I0051,I0052,13.

基金项目

supported by the Coordination for the Improvement of Higher Education Personnel,Brazil(Grant No.001) （Grant No.001）

the National Council for Scientific Technological and Development,Brazil(Grant No.304966/2023-1) （Grant No.304966/2023-1）

the Research Support Foundation of the State of Rio Grande do Sul,Brazil(Grant No.24/2551-0001150-1)。（Grant No.24/2551-0001150-1）

Rice science

ISSN：1672-6308

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