A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum.

Thapa, Suresh; Zhu, Feiyu; Walia, Harkamal; Yu, Hongfeng; Ge, Yufeng

Thapa, Suresh; Zhu, Feiyu; Walia, Harkamal; Yu, Hongfeng; Ge, Yufeng.

Afiliación

Thapa S; Department of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE 68583, USA. Suresh.thapa@huskers.unl.edu.
Zhu F; Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA. Feiyuzhu520@gmail.com.
Walia H; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA. hwalia2@unl.edu.
Yu H; Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA. hfyu@unl.edu.
Ge Y; Department of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE 68583, USA. yge2@unl.edu.

Sensors (Basel) ; 18(4)2018 Apr 13.

Article en En | MEDLINE | ID: mdl-29652788

Asunto(s)

Sorghum; Zea mays; Imagenología Tridimensional; Fenotipo; Hojas de la Planta

Palabras clave

3D point cloud; LiDAR; high-throughput plant phenotyping; leaf angular distribution; leaf area; leaf inclination angle

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Zea mays / Sorghum Idioma: En Revista: Sensors (Basel) Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google