News
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A real-time phenotyping framework using machine learning for plant stress severity rating in soybean
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Latest paper from our group: Computer vision and machine learning for robust phenotyping in genome-wide studies
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Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity
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International Plant Phenotyping Network meeting
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Congratulations Kyle Parmley for successfully defending your MS thesis
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Congratulation Teshale Mamo for the new position at USDA-ARS
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Congratulations Tara Moellers, who recently completed her MS degree.
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2016 R F Baker Symposium at ISU. A.K. Singh presented on "Application of Machine Learning in Soybean Breeding"
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Phenotypic Prediction: Image Acquisition and Analysis - Feb 23/24, 2015
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Data-Driven Science Initiative Workshop - Jan 27/28, 2016
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Featured review in ‘Trends in Plant Science’: Singh et al.
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Recent research paper: Zhang et al. unravel the genetic architecture of SDS resistance in soybean
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Upcoming symposium: 2016 R. F. Baker Plant Breeding Symposium
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Our group in News: Presidential research initiative builds, advances four big data research teams
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Upcoming workshop: “Phenotype Prediction: Image Acquisition and Analysis" at Iowa State University
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Upcoming workshop: 2016 Soybean Breeders workshop (Feb 22-24, 2016)