Abstract
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.
Highlights
For crop improvement efforts to meet the expected requirement for increased crop yield potential in the coming decades [1,2,3], crop scientists and breeders will need to connect phenotype to genotype with high efficiency [4]
Field phenotyping of complex traits associated with biomass development and yield is a laborious process, often involving destructive measurements taken from a subsection of the experimental plot, which may not accurately represent the entire plot and can be subject to individual human operator error
We evaluate the role of proximal remote sensing buggies for field-based phenotyping and present a case study to explore the possible traits that can be quantified, where proximal remote sensing is the deployment of sensors on a ground-based platform, in contrast to the remote deployment of sensors using aerial or satellite platforms [13]
Summary
For crop improvement efforts to meet the expected requirement for increased crop yield potential in the coming decades [1,2,3], crop scientists and breeders will need to connect phenotype to genotype with high efficiency [4]. This connection has been partly facilitated through tremendous gains in biotechnology, including marker-assisted selection, association mapping and the increasing availability of low-cost DNA sequence information [5]. We evaluate the role of proximal remote sensing buggies for field-based phenotyping and present a case study to explore the possible traits that can be quantified, where proximal remote sensing is the deployment of sensors on a ground-based platform, in contrast to the remote deployment of sensors using aerial or satellite platforms [13]
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