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 ...
You may not like bees, but you don’t want to imagine a world without them. Although bee populations began to decline as early as the mid-20th century, scientists did not become alarmed about the ...
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 ...
An electron microscope image, colorized, shows different structures of pollen grains, including sunflower, morning glory and primrose. Dartmouth Electron Microscope Facility If pollen allergies are ...
When insects carry the pollen from one flower to another to pollinate them, the pollen must attach to and detach from different surfaces. Scientists have discovered that the mechanisms are far more ...
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