Predictive Agronomy Professors in Global

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Frank Wood
University of British Columbia Canada
deep generative modeling
applied probabilistic machine learning
probabilistic programming
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Marianne Wettstein
ETH Zurich Switzerland
agricultural sustainability
crop genetics
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Philipp Simon
University of Wisconsin–Madison United States of America
agricultural sustainability
crop genetics
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Dirk Van Apeldoorn
Wageningen University & Research Netherlands
agroecosystems
agricultural systems
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Sharareh Taghipour
Toronto Metropolitan University Canada
data-driven predictive modeling
data-driven prescriptive modeling
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Troy Ott
Pennsylvania State University United States of America
agricultural sustainability
agricultural biotechnology
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Christian Andres
ETH Zurich Switzerland
agricultural sustainability
agroecology
sustainable agroecosystems
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Chetan Dave
University of Alberta Canada
macroeconomic forecasting
technical structural forecasting
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Suat Irmak
Pennsylvania State University United States of America
agro-ecosystem productivity
plant phenotyping
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Martin Zuidhof
University of Alberta Canada
poultry systems modeling
precision feeding
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Martin Richard
Memorial University of Newfoundland Canada
ensemble forecasting
applied environmental forecasting
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Thilde Bruun
University of Copenhagen Denmark
agro-ecosystems
regenerative agriculture
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Lyle Ungar
University of Pennsylvania United States of America
prediction markets
forecasting methods
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Leigha Macneill
Purdue University United States of America
risk prediction modeling
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Summer Han
Stanford University United States of America
risk prediction modeling
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Summer Han
Stanford University United States of America
risk prediction modeling
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Christoph Schwörer
University of Bern Switzerland
vegetation modelling
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Rayanne Vitali
Aarhus University Denmark
vegetation modelling
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
shape-constrained prediction
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Gerard Gorman
Imperial College London United Kingdom
adaptive computational algorithms
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Stephen Haben
University of Oxford United Kingdom
probabilistic load forecasting
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