Módulo de visión artificial para una aplicación de agricultura de precisión / Guillermo León Álvarez Salamanca, Juan Carlos Martínez Muñoz

Por: Álvarez Salamanca , Guillermo LeónColaborador(es): Martínez Muñoz, Juan CarlosTipo de material: Archivo de ordenadorArchivo de ordenadorIdioma: Español Editor: Bogotá (Colombia) : Escuela Colombiana de Ingeniería Julio Garavito, 2016Descripción: 66 p. : il., gráficasTrabajos contenidos: Cadavid Rengifo, Héctor Fabio [dir]Tema(s): APLICACIONES (SOFTWARE) -- DESARROLLO | AGRICULTURA -- SOFTWAREClasificación CDD: 004.603381 Recursos en línea: Haga clic para acceso en línea Nota de disertación: Tesis (Ingeniero de Sistemas) Resumen: The benefits derived from the application of precision agriculture has enabled both improved quality and speed of production and the development of new related technologies for their own development, such as computer vision, a prominent technology in this case is presented in a module of artificial vision for an application of precision agriculture, which is applied as an automation solution precision farming consisting of a controlled through Plexil robot, which runs on a SoC card (System on a chip) Intel Galileo. In this module two functions, object detection and distance to them are presented; for this a combination of color segmentation and detection characteristics applies in the case of detection functionality; for the case of monoscopic distance estimate one application, in which the distance is evaluated by comparison between different object sizes relative forward facing camera was performed. Tests were performed both in indoor environments such as field tests.
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The benefits derived from the application of precision agriculture has enabled both improved quality and speed of production and the development of new related technologies for their own development, such as computer vision, a prominent technology in this case is presented in a module of artificial vision for an application of precision agriculture, which is applied as an automation solution precision farming consisting of a controlled through Plexil robot, which runs on a SoC card (System on a chip) Intel Galileo. In this module two functions, object detection and distance to them are presented; for this a combination of color segmentation and detection characteristics applies in the case of detection functionality; for the case of monoscopic distance estimate one application, in which the distance is evaluated by comparison between different object sizes relative forward facing camera was performed. Tests were performed both in indoor environments such as field tests.

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