The approach combines scanning electron microscopy with a computer vision model and a web-based application to automatically classify pollen grains based on their microscopic surface features. Its ...

Please provide your email address to receive an email when new articles are posted on . The model was trained with 6,404 images of 29 pollen species. There was 96% correlation in identifying pollen ...

Pollen from 18,000 tropical plants was digitized in Panama. The images will be used to train a machine-learning model to identify pollen grains, as part of the PollenGEO project Elisabeth King A team ...

Smithsonian researcher Ingrid Romero studies fossil pollen to reconstruct ancient climates and predict future changes Erin Wunderlich Researcher Ingrid Romero holds a case full of pollen slides at the ...

A pivotal study has shed new light on the molecular underpinnings of plant reproduction, pinpointing a key interaction that is vital for the development of pollen. The research zeroes in on the ...

If you live in Dallas, you probably already know allergy season hits hard. The city ranks among the top 20 allergy capitals in the United States, landing fourth for pollen score, over-the-counter ...

Storms don’t wash pollen away—they burst it into tiny pieces. Here's how it can lead to "thunderstorm asthma." ...