Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images

Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images

3D point cloud analysis of imagery collected by unmanned aerial vehicles (UAV) has been shown to be a valuable tool for estimation of crop phenotypic traits, such as plant height, in several species. Spatial information about these phenotypic traits can be used to derive information about other impo...

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Bibliographic Details
Main Authors: Thomas Moeckel, Supriya Dayananda, Rama Rao Nidamanuri, Sunil Nautiyal, Nagaraju Hanumaiah, Andreas Buerkert, Michael Wachendorf
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Remote Sensing
Subjects:
point clouds
biomass
crop height
machine learning
unmanned aerial vehicles
multi-spectral
Online Access:http://www.mdpi.com/2072-4292/10/5/805

Internet

http://www.mdpi.com/2072-4292/10/5/805

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