Aquatic weed automatic classification using machine learning techniques

Nenhuma Miniatura disponível

Data

2012-09-01

Orientador

Coorientador

Pós-graduação

Curso de graduação

Título da Revista

ISSN da Revista

Título de Volume

Editor

Elsevier B.V.

Tipo

Artigo

Direito de acesso

Acesso restrito

Resumo

Aquatic weed control through chemical products has attracted much attention in the last years, mainly because of the ecological disorder caused by such plants, and also the consequences to the economical activities. However, this kind of control has been carried out in a non-automatic way by technicians, and may be a not healthy policy, since each species may react differently to the same herbicide. Thus, this work proposes the automatic identification of some species by means of supervised pattern recognition techniques and shape descriptors in order to compose a nearby future expert system for automatic application of the correct herbicide. Experiments using some state-of-the-art techniques have shown the robustness of the employed pattern recognition techniques. (c) 2012 Elsevier B.V. All rights reserved.

Descrição

Idioma

Inglês

Como citar

Computers and Electronics In Agriculture. Oxford: Elsevier B.V., v. 87, p. 56-63, 2012.

Itens relacionados