A Multi-Model Approach to Pollen Season Estimations: Case Study for <i>Olea</i> and <i>Quercus</i> in Thessaloniki, Greece

A Multi-Model Approach to Pollen Season Estimations: Case Study for <i>Olea</i> and <i>Quercus</i> in Thessaloniki, Greece

The accurate prediction of the Main Pollen Season (MPS) is crucial for public health and environmental management, particularly for allergenic and highly abundant taxa such as <i>Olea</i> and <i>Quercus</i>. This study presents a comparative evaluation of multiple predictive...

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Bibliographic Details
Main Authors: Sofia Papadogiannaki, Kostas Karatzas, Serafim Kontos, Anastasia Poupkou, Dimitrios Melas
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Atmosphere
Subjects:
aerobiology
pollen season modeling
machine learning techniques
<i>Olea</i> and <i>Quercus</i> pollen dynamics
Online Access:https://www.mdpi.com/2073-4433/16/4/454
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