• We developed an automated recognition software for pollen data acquisition • Our software uses multiple convolutional neural network with decision tree (multi-CNNs) • Augmentation of stacked optical images increases classification accuracy • Our software successfully recognizes pollen at the genus or species rank • It achieves robust identification of intact, damaged, modern, and fossil pollen
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.