Use este identificador para citar ou linkar para este item: 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
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