Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping

The achievements made in genomic technology in recent decades are yet to be matched by fast and accurate crop phenotyping methods. Such crop phenotyping methods are required for crop improvement efforts to meet expected demand for food and fibre in the future. This review evaluates the role of proxi...

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Bibliographic Details
Published in:	Agronomy (Basel) 2014-09, Vol.4 (3), p.349-379
Main Authors:	Deery, David, Jimenez-Berni, Jose, Jones, Hamlyn, Sirault, Xavier, Furbank, Robert
Format:	Article
Language:	eng
Subjects:	chlorophyll fluorescence data processing field experiments hyperspectral image analysis LiDAR RGB camera thermal imaging time of flight wheat
Online Access:	Get full text
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Summary:	The achievements made in genomic technology in recent decades are yet to be matched by fast and accurate crop phenotyping methods. Such crop phenotyping methods are required for crop improvement efforts to meet expected demand for food and fibre in the future. This review evaluates the role of proximal remote sensing buggies for field-based phenotyping with a particular focus on the application of currently available sensor technology for large-scale field phenotyping. To illustrate the potential for the development of high throughput phenotyping techniques, a case study is presented with sample data sets obtained from a ground-based proximal remote sensing buggy mounted with the following sensors: LiDAR, RGB camera, thermal infra-red camera and imaging spectroradiometer. The development of such techniques for routine deployment in commercial-scale breeding and pre-breeding operations will require a multidisciplinary approach to leverage the recent technological advances realised in computer science, image analysis, proximal remote sensing and robotics.
ISSN:	2073-4395 2073-4395