Machine-learning-based classification model for pollen recognition using Rapid-E+ measurements

DOI

The code and training dataset used to create, train, and validate the machine-learning-based classification model for pollen recognition using Rapid-E+ measurements are published as part of the paper by Sikoparija et al. (2024), available at https://doi.org/10.5194/egusphere-2024-187. The training dataset is available at http://lake.fmi.fi/rapid-e-plus-training/index.html.

Identifier
DOI https://doi.org/10.57707/fmi-b2share.b5c9272c5ab64d9190d9ab93d9888702
Source https://fmi.b2share.csc.fi/records/b5c9272c5ab64d9190d9ab93d9888702
Metadata Access https://fmi.b2share.csc.fi/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:fmi.b2share.csc.fi:b2rec/b5c9272c5ab64d9190d9ab93d9888702
Provenance
Creator Matavulj, Predrag
Instrument Plair Rapid-E+
Publisher Finnish Meteorological Institute
Publication Year 2024
Funding Reference Horizon Europe 101086109; Ministry Science, Technological Development and Innovations of the Republic of Serbia 200358
Rights CC-BY; info:eu-repo/semantics/openAccess
OpenAccess true
Contact evgeny.kadantsev(at)fmi.fi
Representation
Language English
Resource Type Model; Dataset
Format zip
Size 193.0 MB; 1 file
Discipline Environmental science; Artificial neural network
Temporal Coverage 2023-04-06T21:00:00.000Z 2023-09-26T21:00:00.000Z