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Related Experiment Video

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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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Accumulating crop functional trait data with citizen science.

Marney E Isaac1,2, Adam R Martin3

  • 1Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Canada. marney.isaac@utoronto.ca.

Scientific Reports
|November 2, 2019
PubMed
Summary
This summary is machine-generated.

Citizen science successfully collected extensive plant trait data for carrot (Daucus carota), enhancing agricultural research. This approach significantly expands functional trait data coverage for ecological analyses.

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Area of Science:

  • Plant Ecology
  • Agricultural Science
  • Citizen Science

Background:

  • Trait-based ecology relies on large datasets for analyzing plant inter- and intraspecific trait variation (ITV).
  • Crop trait data is limited, despite high ITV in agricultural research.

Purpose of the Study:

  • To develop and evaluate the first citizen science initiative for collecting plant trait data.
  • To generate a comprehensive dataset of leaf traits for Daucus carota (carrot).
  • To assess the utility of citizen-collected data for addressing ecological and agricultural questions.

Main Methods:

  • Farmer-led collections were used to gather data on eight leaf traits for Daucus carota.
  • Sampling was conducted across two distinct regions in Canada.
  • The generated dataset was evaluated for its size and utility in trait-based analyses.

Main Results:

  • A dataset 25-fold larger than existing databases was generated for Daucus carota leaf traits.
  • Citizen-collected data supported analyses of intraspecific trait dimensionality and ITV drivers.
  • The study determined the sampling intensity required for accurate trait value derivation.

Conclusions:

  • Citizen science is a viable method for increasing functional trait data coverage in ecosystems.
  • This approach can significantly support both theoretical and applied trait-based plant analyses.
  • The initiative provides a scalable model for enhancing plant trait data collection.