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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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Quantifying wheat spike morphology by high resolution 3D surface scanning.

Latifa Greche1, Nicolas Virlet2, Malcolm J Hawkesford3

  • 1Crop Resource Use and Quality, Rothamsted Research, West Common, Harpenden, AL5 2JQ, UK. latifa.greche@rothamsted.ac.uk.

Plant Methods
|June 16, 2026
PubMed
Summary
This summary is machine-generated.

High-resolution 3D surface-scanning accurately quantifies wheat spike morphology, enabling precise phenotyping. This non-destructive method aids in linking wheat architecture to genetic potential and yield improvements.

Area of Science:

  • Agricultural Science
  • Plant Morphology
  • Computational Imaging

Background:

  • Traditional wheat spike trait measurements are labor-intensive and error-prone, hindering large-scale phenotyping.
Keywords:
Mesh reconstructionSpike shapeSurface scanningTrait extractionWheatYield prediction

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  • 2D imaging offers rapid screening, but 3D imaging provides a more comprehensive understanding of complex spike structures.