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Identificación de especies de maderas locales mediante el uso de nariz electrónica y aprendizaje automático: un experimento preliminar ; Identification of local wood species by using electronic nose and machine learning: a preliminary experiment

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • بيانات النشر:
      Corporación Universidad de la Costa
      Colombia
    • الموضوع:
      2021
    • Collection:
      REDICUC - Repositorio Universidad de La Costa
    • نبذة مختصرة :
      Introducción— La deforestación y extracción desordenada de madera ponen en peligro algunas especies maderables vulnerables. Estas especies prohibidas podrían detectarse durante su proceso de transporte si las entidades de vigilancia y control tuvieran los instrumentos de seguimiento adecuados. Si bien en trabajos anteriores se reportan métodos para identificar especies de madera, estos no son aplicables a sitios alejados de las principales ciudades. Objetivo— En el presente trabajo se propone utilizar narices electrónicas (arreglos de sensores químicos) para identificar especies maderables, a partir de los compuestos volátiles que estas emanan. Metodología— La medición de aromas se realiza mediante el uso de una matriz de 16 sensores químicos, cuyas curvas son la entrada a un procedimiento de estimación de características. Luego, se realiza un análisis de componentes principales, para finalmente aplicar una estrategia de clasificación basada en máquinas de vectores de soporte. En contraste a trabajos previos, en el presente trabajo las condiciones de recolección de muestras son más cercanas a las encontradas en entornos reales para los cuales este trabajo busca resolver el problema. Además, el número de muestras es mayor y más variado. Sin embargo, el número de muestras recolectadas para cada especie no está balanceado; por lo tanto, se aplica una técnica de aumento de datos para compensar el desequilibrio en las clases. Resultados— Al realizar los experimentos se encuentra un desempeño de aproximadamente 80%. Conclusiones— A pesar de los resultados prometedores, se deben realizar mayores esfuerzos para obtener un mejor desempeño. ; Introduction— Deforestation and disordered timber extraction endanger some vulnerable timber species. These prohibited species could be detected during their transportation process if surveillance and control entities had adequate monitoring instruments. Although methods for identifying wood species are reported in previous works, they are not applicable to sites far from the main ...
    • File Description:
      13 páginas; application/pdf
    • ISSN:
      0122-6517
      2382-4700
    • Relation:
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Ortega Boada & A. Sepúlveda Sepúlveda, “Identificación de especies de maderas locales mediante el uso de nariz electrónica y aprendizaje automático: un experimento preliminar”, INGECUC, vol. 17. no. 1, pp. 188–205. DOI: http://doi.org/10.17981/ingecuc.17.1.2021.15; https://hdl.handle.net/11323/10310; Corporación Universidad de la Costa; REDICUC - Repositorio CUC; https://repositorio.cuc.edu.co/
    • الرقم المعرف:
      10.17981/ingecuc.17.1.2021.15
    • الدخول الالكتروني :
      https://hdl.handle.net/11323/10310
      https://doi.org/10.17981/ingecuc.17.1.2021.15
      https://repositorio.cuc.edu.co/
    • Rights:
      Derechos de autor 2021 INGE CUC ; Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) ; https://creativecommons.org/licenses/by-nc-nd/4.0/ ; info:eu-repo/semantics/openAccess ; http://purl.org/coar/access_right/c_abf2
    • الرقم المعرف:
      edsbas.BF289A90