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High-throughput field crop phenotyping: current status and challenges.

Seishi Ninomiya1,2

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Summary

High-throughput plant phenotyping (HTP) overcomes challenges in field crop analysis. Recent advancements in sensors, AI, and robotics enable rapid, non-destructive crop assessment for breeding programs.

Keywords:
CNNLiDARSfM-MVSUAScanopy architectural traitsfield phenotypingimage sensors

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Area of Science:

  • Plant Science
  • Agricultural Technology

Background:

  • Plant phenotyping is a bottleneck in plant science, hindering progress despite advances in genotyping.
  • High-throughput plant phenotyping (HTP) has emerged to address this, with a shift from controlled environments to field applications.

Purpose of the Study:

  • To provide an overview of recent advancements in field-based HTP technologies.
  • To discuss current topics and adoption challenges of HTP in crop breeding.

Main Methods:

  • Review of recent HTP technologies, including sensors (image, laser, environmental), drones, and robotics.
  • Focus on canopy-based phenotypes (height, coverage, biomass, stress) and crop organ detection in fields.
  • Integration of data analysis, machine learning, 3D reconstruction, and high-speed computation.

Main Results:

  • HTP in fields, despite environmental challenges, now allows rapid, efficient, non-destructive, and objective phenotyping.
  • Technological progress in data analysis, sensors, and robotics has accelerated HTP development.
  • Key canopy traits and crop organ metrics can be quantitatively assessed in field settings.

Conclusions:

  • Recent HTP technologies enable comprehensive, non-invasive field crop assessment.
  • Challenges remain in the adoption of HTP technologies within practical plant breeding programs.
  • Continued innovation in HTP is crucial for accelerating crop improvement and breeding efficiency.