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Participatory AI for inclusive crop improvement.

Violet Lasdun1, Davíd Güereña2, Berta Ortiz-Crespo2

  • 1London School of Economics, Houghton St., London WC2A 2AE, United Kingdom.

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|October 30, 2024
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Summary
This summary is machine-generated.

Mobile phenotyping tools overcome crop breeding's data limitations, enabling faster, more accurate variety selection. This technology empowers farmers and breeders, accelerating crop improvement for climate change adaptation.

Keywords:
AI-assisted data-collectionComputer visionHuman centered designImage-based phenotypingOn-farm variety evaluationParticipatory plant breeding

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Area of Science:

  • Agricultural Science
  • Plant Breeding
  • Computational Biology

Background:

  • The Global South faces a 'phenotyping bottleneck' in crop breeding due to manual, error-prone methods, hindering climate-resilient variety development.
  • Traditional breeding programs often exclude farmers, leading to low adoption of improved crop varieties.

Purpose of the Study:

  • To democratize crop breeding using mobile phenotyping technologies for decentralized, high-quality data collection.
  • To integrate farmer preferences into variety development using multimodal data, ensuring alignment with local needs.

Main Methods:

  • Development and field-testing of novel mobile phenotyping tools in Colombia and Tanzania.
  • Analysis of data quality and accuracy against traditional methods and ground truth.
  • Application of Human-Centered Design (HCD) to ensure technology usability for breeders.

Main Results:

  • Computer vision (CV)-enabled mobile phenotyping significantly reduced scoring variation.
  • Achieved high trait accuracies (Pearson Correlation 0.88-0.95) with ground truth data.
  • Reduced labor by enabling plot phenotyping in under a minute.

Conclusions:

  • Mobile phenotyping allows anyone with a smartphone to collect high-quality data, expanding on-farm phenotyping capabilities.
  • Inclusive innovations in mobile phenotyping and AI accelerate trait assessment and farmer involvement in variety selection.
  • These advancements facilitate rapid varietal turnover, enhancing food security and cultural relevance of crop varieties under climate change.