DOE OSTI · 3015346
Dataset: Breaking the barrier of human-annotated training data for machine-learning-aided plant research using aerial imagery
Abstract
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.
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Varela, Sebastian [Independent Researcher, Canelones 15800, Uruguay; Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States)] (ORCID:0000000180643636), Leakey, Andrew [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)] (ORCID:000000016251024X). 2024-12-12. Dataset: Breaking the barrier of human-annotated training data for machine-learning-aided plant research using aerial imagery. https://doi.org/10.13012/b2idb-8462244_v2
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