Title :
Botanical identification of Amazonian species through patterns recognition of wood and essential oil: A framework based on ontology
Author :
Moutinho da Ponte, MaÌrcio JoseÌ ; Pantoja Lima, Celson
Author_Institution :
Inst. de Eng. e Geociencias, Univ. Fed. do Oeste do Para, Santarém, Brazil
Abstract :
The degradation of biodiversity, due to the implementation of livestock, agriculture crops by predatory and extractive systems, finds roots in contemporary human condition involving, at the same time, social, economic, cultural and scientific aspects. Thus, conservation efforts are increasingly urgent and necessary. This work presents a strategy to improve the content of sustainable forest management system by proposing an ontology in the field of botanical identification combined with automated processes botanical identification with image samples of wood and chemical analysis of essential oils.
Keywords :
biology computing; botany; chemical analysis; crops; cultural aspects; essential oils; image recognition; ontologies (artificial intelligence); socio-economic effects; sustainable development; wood; Amazonian species; agriculture crops; automated botanical identification process; biodiversity degradation; cultural aspects; economic aspects; essential oil chemical analysis; essential oil pattern recognition; extractive systems; human condition; livestock; ontology; predatory systems; scientific aspects; social aspects; sustainable forest management system; wood image samples; wood pattern recognition; Abstracts; Agriculture; Biodiversity; Laboratories; MATLAB; Ontologies; Pattern recognition; Amazon; botanical identification; ontology; pattern recognition;
Conference_Titel :
Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Conference_Location :
Barcelona
DOI :
10.1109/CISTI.2014.6877032