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

Agronomy

David Deery¹  Jose Jimenez-Berni¹  Hamlyn Jones²  Xavier Sirault¹ 

[1] High Resolution Plant Phenomics Centre, Australian Plant Phenomics Facility, CSIRO Plant Industry, GPO Box 1600, Canberra, ACT 2601, Australia; E-Mails:;Plant Science Division, College of Life Sciences, University of Dundee at The James Hutton Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK; E-Mail:

关键词: LiDAR;    time of flight;    hyperspectral;    RGB camera;    thermal imaging;    chlorophyll fluorescence;    image analysis;    data processing;    field experiments;    wheat;   

DOI  :  10.3390/agronomy4030349

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.