Adaptive spectral band optimization for low-cost multispectral estimation of maize leaf chlorophyll using a LASSO–IARO strategy

Analytical Methods 2026

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Authors: Fu Zhang, Fu Zhang, Zifei Yang, Baoping Yan, Fangyuan Zhang, Fangyuan Zhang, Yakun Zhang, Yue Wang, Sanling Fu
DOI: 10.1039/d6ay00404k
Cited by: 1
References: 35

Abstract

) of 0.81 with a root mean square error (RMSE) value of 2.01 on the testing set. The optimized band subset (517 nm, 520 nm, 696 nm, and 730 nm) provides candidate wavelengths for designing low-cost multispectral sensors for in-field chlorophyll monitoring.

Fields of Study & Subjects

Remote Sensing in Agriculture Smart Agriculture and AI Spectroscopy and Chemometric Analyses

Publication details

Journal / source
Analytical Methods
Publisher
Royal Society of Chemistry (RSC)
Volume
18
Issue
17
Pages
3624–3633
Publication date
1 January 2026
Language
EN