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Improving Sugarcane Extraneous Matter Prediction Using Transformed Near-Infrared Spectral Data and Functional Regression

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Bibliographic Details
Published in:Journal of Agricultural, Biological & Environmental Statistics
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Agricultural, Biological & Environmental Statistics
description
discipline_display Agriculture
discipline_facet Agriculture
format Online Article
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genre Journal Article
id rss_article:91295
institution FRELIP
journal_source_facet Journal of Agricultural, Biological & Environmental Statistics
last_indexed 2026-06-14T02:03:22.160Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Improving Sugarcane Extraneous Matter Prediction Using Transformed Near-Infrared Spectral Data and Functional Regression
Agriculture
General
Agriculture
sub_discipline_display General
sub_discipline_facet General
subject_display Agriculture
General
Agriculture
Agriculture
General
Agriculture
subject_facet Agriculture
General
Agriculture
title Improving Sugarcane Extraneous Matter Prediction Using Transformed Near-Infrared Spectral Data and Functional Regression
title_auth Improving Sugarcane Extraneous Matter Prediction Using Transformed Near-Infrared Spectral Data and Functional Regression
title_full Improving Sugarcane Extraneous Matter Prediction Using Transformed Near-Infrared Spectral Data and Functional Regression
title_fullStr Improving Sugarcane Extraneous Matter Prediction Using Transformed Near-Infrared Spectral Data and Functional Regression
title_full_unstemmed Improving Sugarcane Extraneous Matter Prediction Using Transformed Near-Infrared Spectral Data and Functional Regression
title_short Improving Sugarcane Extraneous Matter Prediction Using Transformed Near-Infrared Spectral Data and Functional Regression
title_sort improving sugarcane extraneous matter prediction using transformed near-infrared spectral data and functional regression
topic Agriculture
General
Agriculture
url https://link.springer.com/article/10.1007/s13253-026-00744-7