Active Optical Sensors for Tree Stem Detection and Classification in Nurseries.

Garrido Izard, Miguel; Pérez Ruiz, Manuel; Valero Ubierna, Constantino; Gliever, Chris J.; Hanson, Bradley D. y Slaughter, David (2014). Active Optical Sensors for Tree Stem Detection and Classification in Nurseries.. "Sensors", v. 14 (n. 6); pp. 10783-10803. ISSN 1424-8220. https://doi.org/10.3390/s140610783.

Descripción

Título: Active Optical Sensors for Tree Stem Detection and Classification in Nurseries.
Autor/es:
  • Garrido Izard, Miguel
  • Pérez Ruiz, Manuel
  • Valero Ubierna, Constantino
  • Gliever, Chris J.
  • Hanson, Bradley D.
  • Slaughter, David
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors
Fecha: Junio 2014
Volumen: 14
Materias:
Escuela: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Departamento: Ingeniería Rural [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Active optical sensing (LIDAR and light curtain transmission) devices mounted on a mobile platform can correctly detect, localize, and classify trees. To conduct an evaluation and comparison of the different sensors, an optical encoder wheel was used for vehicle odometry and provided a measurement of the linear displacement of the prototype vehicle along a row of tree seedlings as a reference for each recorded sensor measurement. The field trials were conducted in a juvenile tree nursery with one-year-old grafted almond trees at Sierra Gold Nurseries, Yuba City, CA, United States. Through these tests and subsequent data processing, each sensor was individually evaluated to characterize their reliability, as well as their advantages and disadvantages for the proposed task. Test results indicated that 95.7% and 99.48% of the trees were successfully detected with the LIDAR and light curtain sensors, respectively. LIDAR correctly classified, between alive or dead tree states at a 93.75% success rate compared to 94.16% for the light curtain sensor. These results can help system designers select the most reliable sensor for the accurate detection and localization of each tree in a nursery, which might allow labor-intensive tasks, such as weeding, to be automated without damaging crops.

Más información

ID de Registro: 30207
Identificador DC: http://oa.upm.es/30207/
Identificador OAI: oai:oa.upm.es:30207
Identificador DOI: 10.3390/s140610783
URL Oficial: http://www.mdpi.com/1424-8220/14/6/10783
Depositado por: Memoria Investigacion
Depositado el: 24 Jun 2014 15:32
Ultima Modificación: 22 Abr 2016 00:29
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