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 than18,000 plant species from the tropics. These images are being used to train a ...
From the spiny spheres of the sunflower to the reticulated patterns of the neem tree, pollen grains carry a microscopic fingerprint unique to their species. Now, an AI-based framework 1 can identify ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results