Deep learning recognition of a large number of pollen grain types

Pollen in honey reflects its botanical origin and melissopalynology is used to identify origin, type and quantities of pollen grains of the botanical species visited by bees. Automatic pollen counting and classification can alleviate the problems of manual categorisation such as subjectivity and tim...

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Bibliographic Details
Main Author: Monteiro, Fernando C. (author)
Other Authors: Pinto, Cristina M. (author), Rufino, José (author)
Format: conferenceObject
Language:eng
Published: 2022
Subjects:
Pollen recognition
Convolutional neural network
Deep learning
Image segmentation
Online Access:http://hdl.handle.net/10198/24688
Country:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/24688

Internet

http://hdl.handle.net/10198/24688

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