Pollen development is characterised by a highly coordinated series of cellular and subcellular transformations that culminate in the formation of a viable male gametophyte. Beginning with ...

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 ...

Weather and timing affect corn pollination success and kernel set, affecting final yield potential. A Purdue Extension ...

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 ...

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 ...