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ORCIDRasmus N. Jørgensen
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2020 – today
- 2022
[i7]Jacob Høxbroe Jeppesen, Rune Hylsberg Jacobsen, Rasmus Nyholm Jørgensen, Thomas Skjødeberg Toftegaard:
Towards Data-Driven Precision Agriculture using Open Data and Open Source Software. CoRR abs/2204.05582 (2022)- 2021
- [j20]Søren Kelstrup Skovsen
, Morten Stigaard Laursen, Rebekka Kjeldgaard Kristensen, Jim Rasmussen, Mads Dyrmann, Jørgen Eriksen, René Gislum, Rasmus Nyholm Jørgensen, Henrik Karstoft:
Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. Sensors 21(1): 175 (2021) - [j19]Sadaf Farkhani, Søren Kelstrup Skovsen, Mads Dyrmann, Rasmus Nyholm Jørgensen, Henrik Karstoft:
Weed Classification Using Explainable Multi-Resolution Slot Attention. Sensors 21(20): 6705 (2021) - 2020
- [j18]Simon Leminen Madsen, Solvejg Kopp Mathiassen, Mads Dyrmann, Morten Stigaard Laursen, Laura-Carlota Paz, Rasmus Nyholm Jørgensen:
Open Plant Phenotype Database of Common Weeds in Denmark. Remote. Sens. 12(8): 1246 (2020) - [c5]Jacob Høxbroe Jeppesen, Rune Hylsberg Jacobsen, Rasmus Nyholm Jørgensen:
Crop Type Classification based on Machine Learning with Multitemporal Sentinel-1 Data. DSD 2020: 557-564
2010 – 2019
- 2019
- [j17]Martin Peter Christiansen, Nima Teimouri, Morten Stigaard Laursen, Birgitte Feld Mikkelsen, Rasmus Nyholm Jørgensen, Claus Aage Grøn Sørensen:
Preprocessed Sentinel-1 Data via a Web Service Focused on Agricultural Field Monitoring. IEEE Access 7: 65139-65149 (2019) - [j16]Nima Teimouri, Mads Dyrmann, Rasmus Nyholm Jørgensen:
A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images. Remote. Sens. 11(8): 990 (2019) - [j15]Simon Leminen Madsen, Anders Krogh Mortensen, Rasmus Nyholm Jørgensen, Henrik Karstoft:
Disentangling Information in Artificial Images of Plant Seedlings Using Semi-Supervised GAN. Remote. Sens. 11(22): 2671 (2019) - [c4]Søren Skovsen, Mads Dyrmann, Anders Krogh Mortensen, Morten Stigaard Laursen, René Gislum, Jørgen Eriksen, Sadaf Farkhani, Henrik Karstoft, Rasmus N. Jørgensen:
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. CVPR Workshops 2019: 2676-2684 - [c3]Sadaf Farkhani, Mikkel Fly Kragh, Peter Hviid Christiansen, Rasmus Nyholm Jørgensen, Henrik Karstoft:
Sparse-to-Dense Depth Completion in Precision Farming. ICVISP 2019: 35:1-35:5 - 2018
- [j14]Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Henrik Karstoft, Rasmus N. Jørgensen, Ulrich Rückert:
Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. Frontiers Robotics AI 5: 28 (2018) - [j13]Nima Teimouri, Mads Dyrmann, Per Rydahl Nielsen, Solvejg Kopp Mathiassen, Gayle J. Somerville, Rasmus Nyholm Jørgensen:
Weed Growth Stage Estimator Using Deep Convolutional Neural Networks. Sensors 18(5): 1580 (2018) - [j12]Hadi Karimi, Søren Skovsen, Mads Dyrmann, Rasmus Nyholm Jørgensen:
A Novel Locating System for Cereal Plant Stem Emerging Points' Detection Using a Convolutional Neural Network. Sensors 18(5): 1611 (2018) - [i6]Martin Peter Christiansen, Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Ibrahim A. Hameed:
Collaborative model based design of automated and robotic agricultural vehicles in the Crescendo Tool. CoRR abs/1802.06296 (2018) - [i5]Martin Peter Christiansen, Peter Gorm Larsen, Rasmus Nyholm Jørgensen:
Robotic design choice overview using co-simulation. CoRR abs/1802.06299 (2018) - [i4]Martin Peter Christiansen, Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Søren Skovsen, René Gislum:
Ground vehicle mapping of fields using LiDAR to enable prediction of crop biomass. CoRR abs/1805.01426 (2018) - [i3]Martin Peter Christiansen, Morten Stigaard Laursen, Birgitte Feld Mikkelsen, Nima Teimouri, Rasmus Nyholm Jørgensen, Claus Aage Grøn Sørensen:
Current potentials and challenges using Sentinel-1 for broadacre field remote sensing. CoRR abs/1809.01652 (2018) - 2017
- [j11]Anders Krogh Mortensen, Henrik Karstoft, Karen Søegaard, René Gislum, Rasmus N. Jørgensen:
Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis. J. Imaging 3(4): 59 (2017) - [j10]Mikkel Kragh Hansen, Peter Christiansen, Morten Stigaard Laursen, Morten Larsen, Kim Arild Steen, Ole Green, Henrik Karstoft, Rasmus Nyholm Jørgensen:
FieldSAFE: Dataset for Obstacle Detection in Agriculture. Sensors 17(11): 2579 (2017) - [j9]Martin P. Christiansen, Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Søren Skovsen, René Gislum:
Designing and Testing a UAV Mapping System for Agricultural Field Surveying. Sensors 17(12): 2703 (2017) - [j8]Søren Skovsen, Mads Dyrmann, Anders Krogh Mortensen, Kim Arild Steen, Ole Green, Jørgen Eriksen, René Gislum, Rasmus Nyholm Jørgensen, Henrik Karstoft:
Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. Sensors 17(12): 2930 (2017) - [i2]Mikkel Kragh Hansen, Peter Christiansen, Morten Stigaard Laursen, Morten Larsen, Kim Arild Steen, Ole Green, Henrik Karstoft, Rasmus Nyholm Jørgensen:
FieldSAFE: Dataset for Obstacle Detection in Agriculture. CoRR abs/1709.03526 (2017) - [i1]Thomas Mosgaard Giselsson, Rasmus Nyholm Jørgensen, Peter Kryger Jensen, Mads Dyrmann, Henrik Skov Midtiby:
A Public Image Database for Benchmark of Plant Seedling Classification Algorithms. CoRR abs/1711.05458 (2017) - 2016
- [j7]Kim Arild Steen, Peter Christiansen, Henrik Karstoft, Rasmus N. Jørgensen:
Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture. J. Imaging 2(1): 6 (2016) - [j6]Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, Kjeld Jensen, Martin P. Christiansen, Thomas Mosgaard Giselsson, Anders Krogh Mortensen, Peter Kryger Jensen:
Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops. Sensors 16(11): 1848 (2016) - [j5]Peter Christiansen, Lars N. Nielsen, Kim Arild Steen, Rasmus N. Jørgensen, Henrik Karstoft:
DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field. Sensors 16(11): 1904 (2016) - [c2]Stefan-Daniel Suvei, Leon Bodenhagen, Lilita Kiforenko, Peter Christiansen, Rasmus N. Jørgensen, Anders Glent Buch, Norbert Krüger:
Stereo and Active-Sensor Data Fusion for Improved Stereo Block Matching. ICIAR 2016: 451-461 - 2015
- [j4]Martin P. Christiansen, Peter Gorm Larsen, Rasmus N. Jørgensen:
Robotic Design Choice Overview Using Co-Simulation and Design Space Exploration. Robotics 4(4): 398-420 (2015) - [c1]Mikkel Kragh Hansen, Rasmus N. Jørgensen, Henrik Pedersen:
Object Detection and Terrain Classification in Agricultural Fields Using 3D Lidar Data. ICVS 2015: 188-197 - 2014
- [j3]Kjeld Jensen, Morten Larsen, Søren H. Nielsen, Leon B. Larsen, Kent S. Olsen, Rasmus N. Jørgensen:
Towards an Open Software Platform for Field Robots in Precision Agriculture. Robotics 3(2): 207-234 (2014) - [j2]Peter Christiansen, Kim Arild Steen, Rasmus N. Jørgensen, Henrik Karstoft:
Automated Detection and Recognition of Wildlife Using Thermal Cameras. Sensors 14(8): 13778-13793 (2014) - 2013
- [j1]Thomas Mosgaard Giselsson, Henrik Skov Midtiby, Rasmus Nyholm Jørgensen:
Seedling Discrimination with Shape Features Derived from a Distance Transform. Sensors 13(5): 5585-5602 (2013)
Coauthor Index
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