Prediction of moisture and protein in corn kernels from multiple origins based on NIR-PLSR with gradient boosting machines for feature selection

Zheng, Runyu

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University of Illinois at Urbana-Champaign

Prediction of moisture and protein in corn kernels from multiple origins based on NIR-PLSR with gradient boosting machines for feature selection

dc:creator Zheng, Runyu

thesis:degree_name M.S.

dc:date2024

Abstract

dc:description

Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01

Degree

thesis:*

Name thesis:degree_name: M.S.
Level thesis:degree_level: Thesis
Discipline thesis:degree_discipline: Agricultural & Biological Engr
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2024

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Zheng, Runyu
Contributors dc:contributor: Kamruzzaman, Mohammed
Allen, Cody M.
Rausch, Kent D.
Singh, Vijay

Subjects

dc:subject × 7

Rights

dc:rights

Language dc:language: en, eng

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/124601
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/124601

Chain of custody

source

Harvested from: University of Illinois - Urbana-Champaign
Base URL: www.ideals.illinois.edu/oai-pmh
Last updated: 2026-07-22
Source record: OAI-PMH GetRecord

related terms

citation

Zheng, Runyu. Prediction of moisture and protein in corn kernels from multiple origins based on NIR-PLSR with gradient boosting machines for feature selection. Thesis thesis, University of Illinois at Urbana-Champaign, 2024. https://hdl.handle.net/2142/124601

Prediction of moisture and protein in corn kernels from multiple origins based on NIR-PLSR with gradient boosting machines for feature selection

Abstract

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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