Data Mining Methods to Detect Airborne Pollen of Spring Flowering Arboreal Taxa

Data Mining Methods to Detect Airborne Pollen of Spring Flowering Arboreal Taxa

Variations in the airborne pollen load are among the current and expected impacts on plant pollination driven by climate change. Due to the potential risk for pollen-allergy sufferers, this study aimed to analyze the trends of the three most abundant spring-tree pollen types, <i>Pinus</i>...

Full description

Bibliographic Details
Main Authors: Estefanía González-Fernández, Sabela Álvarez-López, Alba Piña-Rey, María Fernández-González, Francisco Javier Rodríguez-Rajo
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Forests
Subjects:
data mining
C5.0 decision trees algorithm
pollen trends
urban environment
meteorology
Online Access:https://www.mdpi.com/1999-4907/12/12/1801

Similar Items

Similar Items