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DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field.
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Platform for evaluating sensors and human detection in autonomous mowing operations.
Precision Agriculture,
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Designing and Testing a UAV Mapping System for Agricultural Field Surveying.
Sensors,
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Current potentials and challenges using Sentinel-1 for broadacre field remote sensing. I
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The Physiological Significance of the Tmax Parameter in Bolus Tracking MRI. Abstract fra ISMRM 14th Annual Meeting, Seattle, USA.
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Comparison of 10 Perfusion MRI Parameters in 97 Sub 6 Hour Stroke Patients using Voxel based Receiver Operating Characteristics Analysis.
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Site Specific Weed Control Technologies.
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Site-specific weed control technologies.
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Comparison of 2 different weed detection systems by use of the API. I
AgEng 2004, Leuven, Belgium. Book of Abstracts, ISBN 90-76019-258, 310-311. Paper on CD, 8 pp. (s. 8-8)
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Field Efficiency of Slurry Applications Involving In-field Transports. I G. Giametta & G. Zimbalatti (red.),
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Robotic weed monitoring.
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A method to define agricultural robot behaviours. I
Proc. int. conf. on Mechatronics & Robotics (MECHROB) 2004, Aachen, Germany. Vol. III (s. 1197-1200)
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Hierarchical classification of insects with multitask learning and anomaly detection.
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An autonomous mobile robot for feeding outdoor pigs. I
Ikke angivet (s. 289-291). NJF, Nordic Association of Agricultural Scientists.