| Designing and testing a UAV mapping system for agricultural field surveying MP Christiansen, MS Laursen, RN Jørgensen, S Skovsen, R Gislum Sensors 17 (12), 2703, 2017 | 213 | 2017 |
| Designing and Testing a UAV Mapping System for Agricultural Field Surveying MP Christiansen, MS Laursen, RN Jørgensen, S Skovsen, R Gislum Sensors 17 (12), 2703, 2017 | 213 | 2017 |
| FieldSAFE: Dataset for Obstacle Detection in Agriculture MF Kragh, P Christiansen, MS Laursen, M Larsen, KA Steen, O Green, ... Sensors 17 (11), 2579, 2017 | 74 | 2017 |
| The GrassClover image dataset for semantic and hierarchical species understanding in agriculture S Skovsen, M Dyrmann, AK Mortensen, MS Laursen, R Gislum, J Eriksen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 64 | 2019 |
| Open Plant Phenotype Database of Common Weeds in Denmark S Leminen Madsen, SK Mathiassen, M Dyrmann, MS Laursen, LC Paz, ... Remote Sensing 12 (8), 1246, 2020 | 56 | 2020 |
| UAV oblique imagery with an adaptive micro-terrain model for estimation of leaf area index and height of maize canopy from 3D point clouds M Li, RR Shamshiri, M Schirrmann, C Weltzien, S Shafian, MS Laursen Remote Sensing 14 (3), 585, 2022 | 35 | 2022 |
| Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops MS Laursen, RN Jørgensen, HS Midtiby, K Jensen, MP Christiansen, ... Sensors 16 (11), 1848, 2016 | 32 | 2016 |
| Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields M Dyrmann, S Skovsen, MS Laursen, RN Jørgensen The 14th International Conference on Precision Agriculture., 1-7, 2018 | 26 | 2018 |
| Sensor‐based assessment of herbicide effects JC Streibig, J Rasmussen, D Andújar, C Andreasen, TW Berge, ... Weed Research 54 (3), 223-233, 2014 | 18 | 2014 |
| Statistics-based segmentation using a continuous-scale naive Bayes approach MS Laursen, HS Midtiby, N Krüger, RN Jørgensen Computers and Electronics in Agriculture, 271-277, 2014 | 17 | 2014 |
| Manual geo-rectification to improve the spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (UAVs) S Azim, J Rasmussen, J Nielsen, R Gislum, MS Laursen, S Christensen Precision agriculture 20, 1199-1210, 2019 | 16 | 2019 |
| Robust species distribution mapping of crop mixtures using color images and convolutional neural networks SK Skovsen, MS Laursen, RK Kristensen, J Rasmussen, M Dyrmann, ... Sensors 21 (1), 175, 2020 | 14 | 2020 |
| Ground vehicle mapping of fields using LiDAR to enable prediction of crop biomass MP Christiansen, MS Laursen, RN Jørgensen, S Skovsen, R Gislum arXiv preprint arXiv:1805.01426, 2018 | 13 | 2018 |
| Spray boom for selectively spraying a herbicidal composition onto dicots RN Joergensen, N Krueger, HS Midtiby, MS Laursen US Patent App. 14/005,331, 2012 | 11 | 2012 |
| Sensing for Weed Detection S Christensen, M Dyrmann, MS Laursen, RN Jørgensen, J Rasmussen Sensing Approaches for Precision Agriculture, 275-300, 2021 | 7 | 2021 |
| Autonomous Precision Spraying Trials Using a Novel Cell Spray Implement Mounted on an Armadillo Tool Carrier K Jensen, MS Laursen, H Midtiby, RN Jørgensen XXXV CIOSTA & CIGR V Conference, 2013 | 7 | 2013 |
| Current potentials and challenges using Sentinel-1 for broadacre field remote sensing MP Christiansen, MS Laursen, BF Mikkelsen, N Teimouri, RN Jørgensen, ... arXiv preprint arXiv:1809.01652, 2018 | 6 | 2018 |
| Preprocessed Sentinel-1 Data via a Web Service Focused on Agricultural Field Monitoring MP Christiansen, N Teimouri, MS Laursen, BF Mikkelsen, RN Jørgensen, ... IEEE Access 7, 65139-65149, 2019 | 4 | 2019 |
| RoboWeedSupport-Semi-Automated Unmanned Aerial System for Cost Efficient High Resolution in Sub-Millimeter Scale Acquisition of Weed Images SL Madsen, M Dyrmann, MS Laursen, RN Jørgensen World Academy of Science, Engineering and Technology, International Journal …, 2017 | 4 | 2017 |
| Drone dataflow-a MATLAB toolbox for extracting plots from images captured by a UAV AK Mortensen, MS Laursen, RN Jørgensen, R Gislum Precision agriculture'19, 959-965, 2019 | 3 | 2019 |
