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A Machine learning approach to the study of a red coralCorallium rubrum(l.) population = Un'Applicazione del machine learning per lo studio di una popolazione di corallo rossoCorallium rubrum(L.)

Academic Article
Publication Date:
2010
Short description:
A Machine learning approach to the study of a red coralCorallium rubrum(l.) population = Un'Applicazione del machine learning per lo studio di una popolazione di corallo rossoCorallium rubrum(L.) / Chessa, Lorenzo Antonio; Scardi, Michele. - In: BIOLOGIA MARINA MEDITERRANEA. - ISSN 1123-4245. - 17:1(2010), pp. 109-111.
abstract:
This study deals with the application of a machine learning algorithm (a classification tree) to assess the weight ofCorallium rubrum(Cnidaria, Octocorallia) ramifications on the basis of the number of apices. Our approach can be easily applied to obtainin situestimates of weight and basal diameter of colonies. Future developments include the integration with image acquisition and processing hardware.
Iris type:
1.1 Articolo in rivista
Keywords:
Corallium rubrum; biometry; machine learning
List of contributors:
Chessa, Lorenzo Antonio; Scardi, Michele
Handle:
https://iris.uniss.it/handle/11388/261627
Full Text:
https://iris.uniss.it//retrieve/handle/11388/261627/193621/Chessa_L_machine_learning_approach_to.pdf
Published in:
BIOLOGIA MARINA MEDITERRANEA
Journal
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