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Dataset: Breaking the barrier of human-annotated training data for machine-learning-aided plant research using aerial imagery

Dataset ·
 [1];  [2]
  1. Independent Researcher, Canelones 15800, Uruguay; Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States)
  2. Department of Crop Sciences, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Institute for Genomic Biology, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Department of Plant Biology, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Center for Digital Agriculture, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States)
This dataset supports the implementation described in the manuscript "Breaking the Barrier of Human-Annotated Training Data for Machine-Learning-Aided Biological Research Using Aerial Imagery." It comprises UAV aerial imagery used to execute the code available at https://github.com/pixelvar79/GAN-Flowering-Detection-paper. For detailed information on dataset usage and instructions for implementing the code to reproduce the study, please refer to the GitHub repository.
Research Organization:
Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States); University of Illinois Urbana-Champaign
Sponsoring Organization:
U.S. Department of Energy (DOE)
DOE Contract Number:
SC0018420
OSTI ID:
3015346
Country of Publication:
United States
Language:
English

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