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Automation in agriculture via signal processing | AU-ENG Inspire Event

curated by | November 3, 2015

“PostDoc Kim Steen describes the use of computer vision and machine learning to develop warning systems for semi-autonomous agricultural machines, and how this research can be utilized in robotic farming.  Presented at Inspire Event @ Aarhus University, Department of Engineering (Electrical and Computer Engineering).”

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