Rasmus Nyholm Jørgensen

Author

Also Known As

Jorgensen, R.N., Jorgensen, Rasmus N; id_orcid 0000-0002-1329-1674, Jørgensen, R N, Jørgensen, Rasmus, Jørgensen, Rasmus N., Jørgensen, Rasmus Nyholm, Jørgensen, Rasmus; id_orcid 0000-0002-1329-1674, Nyholm Jørgensen, Rasmus; id_orcid 0000-0002-1329-1674, R JØRGENSEN, R Jørgensen

209

Publications

3.3K

Citations

H-Index

124

Concepts

All Affiliations

Aarhus University University of Southern Denmark Maersk (Denmark)University of Copenhagen Agro Business Park

About

Rasmus Nyholm Jørgensen is an author at Aarhus University specializing in engineering, agricultural economics, and precision agriculture.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	25	38	2K
2	Natural Sciences	3	3	57
3	Business	1	1	37
4	Education	1	1	24
5	Medicine	1	1	69

Rasmus Nyholm Jørgensen

Publications

2.8K

Citations

H-Index

Page 1

	Year	Citations
Site‐specific weed control technologies Svend Christensen, H.T. Søgaard, Per Kudsk, Weed Research Precision AgricultureEnvironmental MonitoringEngineeringCrop-weed InteractionLand Use	2009	227
Designing and Testing a UAV Mapping System for Agricultural Field Surveying Martin Peter Christiansen, Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Sensors	2017	181
Automated Detection and Recognition of Wildlife Using Thermal Cameras Peter Christiansen, Kim Arild Steen, Rasmus Nyholm Jørgensen, Sensors Image ClassificationMachine VisionImage AnalysisThermographyFeature Detection	2014	180
RoboWeedSupport - Detection of weed locations in leaf occluded cereal crops using a fully convolutional neural network Mads Dyrmann, Rasmus Nyholm Jørgensen, Henrik Skov Midtiby Advances in Animal Biosciences Agricultural EngineeringPrecision AgricultureEngineeringConvolutional Neural NetworkBotany	2017	150
DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field Peter Christiansen, Lars Nielsen, Kim Arild Steen, Sensors	2016	147
Monitoring and classifying animal behavior using ZigBee-based mobile ad hoc wireless sensor networks and artificial neural networks Esmaeil S. Nadimi, Rasmus Nyholm Jørgensen, Victoria Blanes‐Vidal, Computers and Electronics in Agriculture Smart SensorEngineeringArtificial Neural NetworksIntelligent SensorWireless Sensor System	2012	135
A Public Image Database for Benchmark of Plant Seedling Classification Algorithms Thomas Mosgaard Giselsson, Rasmus Nyholm Jørgensen, Peter Kryger Jensen, arXiv (Cornell University) Plant AnalysisPrecision AgricultureEngineeringMachine LearningBotany	2017	117
Weed Growth Stage Estimator Using Deep Convolutional Neural Networks Nima Teimouri, Mads Dyrmann, Solvejg K. Mathiassen, Sensors	2018	110
Semantic Segmentation of Mixed Crops using Deep Convolutional Neural Network Anders Krogh Mortensen, Mads Dyrmann, Henrik Karstoft, Precision AgricultureEngineeringSustainable AgricultureAgricultural EconomicsMixed Crops	2016	87
A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images Nima Teimouri, Mads Dyrmann, Rasmus Nyholm Jørgensen Remote Sensing Convolutional Neural NetworkPrecision AgricultureEngineeringEarth ScienceImage Sequence Analysis	2019	86

Page 1