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Leveraging Image Analysis for High-Throughput Plant Phenotyping.

Sruti Das Choudhury1,2, Ashok Samal2, Tala Awada1,3

  • 1School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States.

Frontiers in Plant Science
|May 10, 2019
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Summary
This summary is machine-generated.

This study introduces a framework for high-throughput plant phenotyping using automated imaging systems. It addresses challenges in extracting plant traits from images to advance genetic insights.

Keywords:
high-throughput plant phenotypingimage analysismultimodal image sequencephenotype taxonomyphysiological phenotypestructural phenotypetemporal phenotype

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Area of Science:

  • Plant biology
  • Genetics
  • Computer vision

Background:

  • Plant traits are influenced by genotype-environment interactions, affecting yield.
  • Automated image-based plant phenotyping enables non-destructive trait quantification.
  • Extracting reliable plant phenotypes from images is challenging due to variations and occlusions.

Purpose of the Study:

  • To present a framework for multimodal, multi-view, time-lapsed, high-throughput plant phenotyping.
  • To establish a taxonomy of plant phenotypes derivable from image analysis.
  • To review current methods, datasets, and identify future research directions.

Main Methods:

  • Development of a high-throughput imaging system.
  • Image analysis for extracting plant traits.
  • Taxonomic classification of plant phenotypes.
  • Review of existing datasets and algorithms.

Main Results:

  • A comprehensive framework for plant phenotyping systems.
  • A structured taxonomy of plant phenotypes.
  • An overview of state-of-the-art methods and available datasets.
  • Identification of open challenges in image-based plant phenotyping.

Conclusions:

  • Advancing automated plant phenotyping is crucial for translating imaging technology into genetic insights.
  • Standardized datasets and methods are needed for algorithm development and comparison.
  • Further research is required to overcome current limitations in image analysis for plant phenotyping.