Work

Machine Learning-Based Band Selection for the Design of a Low-Cost VIS-NIR Microspectrometer for Smart Leaf Nutrient Monitoring

Year: 2025

Type: conference-paper

Source: Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ...

DOI: 10.1109/sensors59705.2025.11330762

Authors: Eleni-Ioanna Koutsovili, Giovanni Lombardo, Salvatore Serrano, Lucanos Strambini, Francesco Longo, Salvatore Surdo, Giuseppe Barillaro, Stefania Matteoli

Institutions: National Research Council, University of Messina, University of Pisa

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

Funder: European Commission

Award: G3703181102

OpenAlex ID: W7124850189

FWCI: 5.644

Cites: 21

Cited by: 1

Related to: