Document of bibliographic reference 324295

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
A machine learning approach to the study of a red coral Corallium rubrum (L.)
Abstract
This study deals with the application of a machine learning algorithm (a classification tree) to assess the weight of Corallium rubrum (Cnidaria, Octocorallia) ramifications on the basis of the number of apices. Our approach can be easily applied to obtain in situ estimates of weight and basal diameter of colonies. Future developments include the integration with image acquisition and processing hardware.
Bibliographic citation
Chessa, L.A.; Scardi, M. (2010). A machine learning approach to the study of a red coral Corallium rubrum (L.). Biol. Mar. Medit. 17(1): 109-111
Topic
Marine
Is peer reviewed
true

Authors

author
author

taxonomic terms

taxonomic terms associated with this publication
Corallium rubrum

Document metadata

date created
2020-05-18
date modified
2020-05-18