With the intensification of urbanization in human society, pollen allergy has become a
seasonal epidemic disease with a considerable incidence rate, seriously affecting the …

Pollen monitoring have become data-intensive in recent years as real-time detectors are
deployed to classify airborne pollen grains. Machine learning models with a focus on deep …

Pollen records are the most important proxy for reconstructing past terrestrial vegetation.
While new approaches for improved quantitative interpretation of pollen data have been …

Altingiaceae, a family of woody plants, comprising evergreen Altingia and deciduous
Liquidambar groups, exhibits distinct leaf morphology, yet both groups overlap in …

The affiliation of fossil pollen grains of Hamamelidaceae with extant genera is still a
challenge for palynologists, probably due to the scarcity of pollen morphological …

Deep-learning-based classification of pollen grains has been a major driver towards
automatic monitoring of airborne pollen. Yet, despite an abundance of available datasets …

Aerobiology is a branch of biology that studies microorganisms passively transferred by the
air. Bacteria, viruses, fungal spores, tiny insects, and pollen grains are samples of …

The study evaluated a new model of a Plair SA airflow cytometer, Rapid-E+, and assessed
its suitability for airborne pollen monitoring within operational networks. Key features of the …

Fossil pollen records are valuable for reconstructing past floristic composition, vegetation
and biogeographic history. In recent decades, a deeper understanding of plant diversity …

Pollen grains are microscopic structures produced by plants in order to reproduce. These
grains are necessary for the pollination and fertilization processes, which are vital for the …