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Computer Vision in Biosystems
Department of Electrical and Computer Engineering – Aarhus University
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ASSIST
CloverSense & SmartGrass
Future Cropping
Machine Learning for Routing in Baggage Handling Systems
RoboWeedMaps
SAFE
Visual Based Navigation for AUV
Datasets
FieldSAFE
Open Plant Phenotyping Database
Plant Seedlings Dataset
CloudCast: A large-scale dataset and baseline for forecasting clouds
Leaf counting dataset
GrassClover Dataset
UAV lidar
EcoStack
Insect detection
Sugarbeet disease dataset
Publications
Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops
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Kinect Depth Sensor Evaluation for Computer Vision Applications
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DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field
