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
taxonomic terms
- taxonomic terms associated with this publication
- Corallium rubrum