Artículos en revistas:
Clustering of Laser Scanner Perception Points of Maize Plants
Año:2017
Áreas de investigación
- Automatización en agricultura
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Descripción
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| The goal of this work was to cluster maize plants perception points under six different growth stages in noisy 3D point clouds with known positions. The 3D point clouds were assembled with a 2D laser scanner mounted at the front of a mobile robot, fusing the data with the precise robot position, gained by a total station and an Inertial Measurement Unit. For clustering the single plants in the resulting point cloud, a graph-cut based algorithm was used. The algorithm results were compared with the corresponding measured values of plant height and stem position. An accuracy for the estimated height of 1.55 cm and the stem position of 2.05 cm was achieved. | |
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Internacional
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JCR del ISI
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Título de la revista
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Advances in Animal Biosciences |
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ISSN
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2040-4719 |
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Factor de impacto JCR
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Información de impacto
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Volumen
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DOI
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Número de revista
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Desde la página
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204 |
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Hasta la página
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209 |
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Mes
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SIN MES |
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Participantes
- Autor: David Reiser University of Hohenheim, Institute of Agricultural Engineering, Garbenstr. 9, D-70599, Stuttgart, Germany
- Autor: Manuel Vazquez-Arellano University of Hohenheim, Institute of Agricultural Engineering, Garbenstr. 9, D-70599, Stuttgart, Germany
- Autor: Miguel Garrido Izard UPM
- Autor: Dimitrios Paraforos University of Hohenheim, Institute of Agricultural Engineering, Garbenstr. 9, D-70599, Stuttgart, Germany
- Autor: Galiv Sharipov University of Hohenheim, Institute of Agricultural Engineering, Garbenstr. 9, D-70599, Stuttgart, Germany
- Autor: Hans-Werner Griepentrog University of Hohenheim, Institute of Agricultural Engineering, Garbenstr. 9, D-70599, Stuttgart, Germany
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
- Creador: Grupo de Investigación: LPF-TAGRALIA: Técnicas Avanzadas en Agroalimentación
- Departamento: Ingeniería Agroforestal