Weed Detection Professors in Global

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Karen Renner
Michigan State University United States of America
weed seed predation
weed seed decay
weed emergence
weed seed rain
weed seed dormancy
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Christy Sprague
Michigan State University United States of America
weed ecology
weed biology
integrated weed management
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Erin Hill
Michigan State University United States of America
weed management
weed science
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Scott White
Dalhousie University Canada
weed science
integrated weed management
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Svend Christensen
University of Copenhagen Denmark
weed science
site-specific weed management technologies
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Sankaran Iyer
University of New South Wales Australia
object detection
pedestrian detection
anomaly detection
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Eric Patterson
Michigan State University United States of America
weed genetics
weed resistance mechanisms
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Georgios Fellouris
University of Illinois United States of America
anomaly detection
sequential detection
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Pierre Tardif
University of Sherbrooke Canada
anomaly detection
intrusion detection
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Guofei Gu
Texas A&M University United States of America
anomaly detection
botnet detection
intrusion detection
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Erza Aminanto
Monash University Australia
anomaly detection
intrusion detection
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Leman Akoglu
Carnegie Mellon University United States of America
anomaly detection
fraud detection
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Paula Branco
University of Ottawa Canada
anomaly detection
fraud detection
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Paula Branco
University of Ottawa Canada
anomaly detection
fraud detection
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Leo Van Ijzendoorn
Eindhoven University of Technology Belgium
detection of biomolecules
point-of-care detection
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Michael Chang
Macquarie University Australia
change detection
vegetation monitoring
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Ronja Güldenring
Technical University of Denmark Denmark
weed detection
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Leif Haglund
Linköping University Sweden
wildfire detection
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Yonghao Xu
Linköping University Sweden
wildfire detection
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Jo Latimore
Michigan State University United States of America
detection
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Loza Tadesse
Massachusetts Institute of Technology United States of America
detection
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