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 ...
A team of researchers from the Smithsonian Tropical Research Institute is digitizing images of pollen from more than 18,000 plant species from the tropics. The work is published in the journal PLANTS, ...
Meet the Scientist Digitizing Millions of Fossilized Pollen Grains to Reveal Earth’s Climate History
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 team of researchers from the Smithsonian Tropical Research Institute is digitizing images of pollen from more than18,000 plant species from the tropics. These images are being used to train a ...
Pollen morphology offers critical insights into plant taxonomy by deciphering the intricacies of pollen grain structure. The shape, size, and surface ornamentation of pollen – features underpinned by ...
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 ...
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