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Linkage Projects - Grant ID: LP140100347

Title
Linkage Projects - Grant ID: LP140100347
Funding
ARC | Linkage Projects
Contract (GA) number
LP140100347
Start Date
2014/01/01
End Date
2017/12/31
Open Access mandate
no
Organizations
-
More information
http://purl.org/au-research/grants/arc/LP140100347

 

  • Analytical Study of Colour Spaces for Plant Pixel Detection

    Pankaj Kumar; Stanley J. Miklavcic (2018)
    Projects: ARC | Linkage Projects - Grant ID: LP140100347 (LP140100347)
    Segmentation of regions of interest is an important pre-processing step in many colour image analysis procedures. Similarly, segmentation of plant objects in digital images is an important preprocessing step for effective phenotyping by image analysis. In this paper, we present results of a statistical analysis to establish the respective abilities of different colour space representations to detect plant pixels and separate them from background pixels. Our hypothesis is that the colour space...

    Quantifying the Onset and Progression of Plant Senescence by Color Image Analysis for High Throughput Applications

    Cai, Jinhai; Okamoto, Mamoru; Atieno, Judith; Sutton, Tim; Li, Yongle; Miklavcic, Stanley J. (2016)
    Projects: ARC | Linkage Projects - Grant ID: LP140100347 (LP140100347)
    Leaf senescence, an indicator of plant age and ill health, is an important phenotypic trait for the assessment of a plant's response to stress. Manual inspection of senescence, however, is time consuming, inaccurate and subjective. In this paper we propose an objective evaluation of plant senescence by color image analysis for use in a high throughput plant phenotyping pipeline. As high throughput phenotyping platforms are designed to capture whole-of-plant features, camera lenses and camera ...

    Quantitative Estimation of Wheat Phenotyping Traits Using Ground and Aerial Imagery

    Khan, Zohaib; Chopin, Joshua; Cai, Jinhai; Eichi, Vahid-Rahimi; Haefele, Stephan; Miklavcic, Stanley J. (2018)
    Projects: ARC | Industrial Transformation Research Hubs - Grant ID: IH130200027 (IH130200027), ARC | Linkage Projects - Grant ID: LP140100347 (LP140100347)
    This study evaluates an aerial and ground imaging platform for assessment of canopy development in a wheat field. The dependence of two canopy traits, height and vigour, on fertilizer treatment was observed in a field trial comprised of ten varieties of spring wheat. A custom-built mobile ground platform (MGP) and an unmanned aerial vehicle (UAV) were deployed at the experimental site for standard red, green and blue (RGB) image collection on five occasions. Meanwhile, reference field measure...
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