Automated identification of diverse Neotropical pollen samples using convolutional neural networks-Reference-Cited by-同舟云学术

Automated identification of diverse Neotropical pollen samples using convolutional neural networks

Author:

Punyasena Surangi W.¹^ORCID,Haselhorst Derek S.²,Kong Shu³⁴^ORCID,Fowlkes Charless C.³^ORCID,Moreno J. Enrique⁵^ORCID

Affiliation:

1. Department of Plant Biology University of Illinois Urbana IL USA

2. Program in Ecology, Evolution and Conservation Biology Urbana IL USA

3. School of Information and Computer Sciences, University of California Irvine CA USA

4. Robotics Institute Carnegie Mellon University Pittsburgh PA USA

5. Center for Tropical Paleoecology and Archaeology Smithsonian Tropical Research Institute Ancon Panama

Funder

National Science Foundation

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

Reference81 articles.

5. Calculation of pollen and spores density in sediments by addition of exotic pollen in known quantities;Benninghoff W. S.;Pollen et Spores,1962

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