Expert system for identification of economically important insect pests in commercial teak plantations

• Autor(a) principal: Zanuncio, José Cola
• Data de Publicação: 2016
• Outros Autores: Nascimento, Diego A., Anunciação Jr., Ronivaldo M., Arnhold, Alexandre, Ferraz Filho, Antonio C., Santos, Alexandre dos
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: https://doi.org/10.1016/j.compag.2015.12.024; http://www.locus.ufv.br/handle/123456789/21992
• topic: Artificial intelligence; Forest management tools; Forestry; Insect pests; Tectona grandis

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.