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https://locus.ufv.br//handle/123456789/21992
Tipo: | Artigo |
Título: | Expert system for identification of economically important insect pests in commercial teak plantations |
Autor(es): | Zanuncio, José Cola Nascimento, Diego A. Anunciação Jr., Ronivaldo M. Arnhold, Alexandre Ferraz Filho, Antonio C. Santos, Alexandre dos |
Abstract: | Homogeneous teak plantations in Brazil occupy large areas with genetically close plants, which may favor insect pests. The insect pests can reduce the quantity and quality of wood produced. The identification of insects at early stages is important to prevent its spread. The objective of this study was to develop an expert system to identify, with mobile smartphones as inference engine, economically important insects attacking commercial teak plantations. The expert system developed (ENTOTECA) proved to be an appropriate technology to identify 23 insects of economic importance at the species level, through a practical and easy interface, usable by any common man. The use of ENTOTECA is aligned with the forest certification that requires the identification of insects before the control decision-making process. |
Palavras-chave: | Artificial intelligence Forest management tools Forestry Insect pests Tectona grandis |
Editor: | Computers and Electronics in Agriculture |
Tipo de Acesso: | Elsevier B.V. |
URI: | https://doi.org/10.1016/j.compag.2015.12.024 http://www.locus.ufv.br/handle/123456789/21992 |
Data do documento: | Fev-2016 |
Aparece nas coleções: | Artigos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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artigo.pdf Until 2100-12-31 | texto completo | 1,41 MB | Adobe PDF | Visualizar/Abrir ACESSO RESTRITO |
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