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Determining Crop Growth Dynamics in Sorghum Breeding Trials Through Remote and Proximal Sensing Technologies

Potgieter, A. B., Watson, J., Eldridge, M., Laws, K., George-Jaeggli, B., Hunt, C., Borrell, A., Mace, E., Chapman, S. C. and Jordan, D. R. (2018) Determining Crop Growth Dynamics in Sorghum Breeding Trials Through Remote and Proximal Sensing Technologies. In: IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, 22-27 July 2018, Valencia, Spain.

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With the advent of sophisticated spectral imaging the development of proximal and remote-sensing highthroughput field phenotyping platforms has become progressively feasible. Such platforms, combined with new innovative image-analysis and machine-learning tools, will likely become the benchmark in high-throughput plant phenotyping frameworks for determining plant responses at the leaf, plant and canopy level. At the University of Queensland, we have developed a cost-effective highthroughput phenotyping pipeline that harvests sensing data from plants utilising proximal sensors. Here, we describe the application of this software pipeline to analyse crop growth dynamics from (i) proximal sensors on-board a tractor-based phenotyping platform and (ii) cameras attached to small unmanned aerial vehicles. Specifically, we discuss the use of high-resolution characterization of time-sequence rededge data obtained from both sensing platforms to derive estimates for dynamic growth parameters in sorghum breeding trials. Although some temporal bias existed between the two platforms the relationships at spatial peak canopy (R2 = 0.71) and plot level (R2 = 0.89) were strong. Application of these technologies across breeding plots will enhance phenotyping capabilities and hence the ability to discriminate among responses of genotypes across different environments.

Item Type:Conference or Workshop Item (Paper)
Business groups:Crop and Food Science
Subjects:Science > Science (General)
Plant culture
Plant culture > Propagation
Plant culture > Field crops > Sorghum
Live Archive:05 Mar 2019 01:04
Last Modified:03 Sep 2021 16:44

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