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Article

A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression.

Journal of experimental botany - 30 Sept 2021

Burnett Angela C, Anderson Jeremiah, Davidson Kenneth J, Ely Kim S, Lamour Julien, Li Qianyu, Morrison Bailey D, Yang Dedi, Rogers Alistair, Serbin Shawn P

Abstract excerpt

Partial least squares regression (PLSR) modelling is a statistical technique for correlating datasets, and involves the fitting of a linear regression between two matrices. One application of PLSR enables leaf traits to be estimated from hyperspectral optical reflectance data, facilitating rapid, high-throughput, non-destructive plant phenotyping. This technique is of interest and importance in a wide range of...

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PMID: 34131723
DOI: 10.1093/jxb/erab295

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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