JoshLomax/Hyperspectral_model_training_framework: Automated model development and evaluation for hyperspectral imaging

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Joshua Mark Hillis Lomax, Ido Bar
DOI: 10.5281/zenodo.18454487
Cited by: 0

Abstract

This project conducted a complex grid search of spectral processing, feature selection and modelling algorithms to predict the concentration of flavour-related papaya fruit metabolites. The modelling framework automates the feature selection, model optimisation and testing using high-performance computing to execute all combinations.

Fields of Study & Subjects

Spectroscopy and Chemometric Analyses Remote-Sensing Image Classification Smart Agriculture and AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 February 2026