Morten Stigaard Laursen
Morten Stigaard Laursen
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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
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
FieldSAFE: Dataset for Obstacle Detection in Agriculture
MF Kragh, P Christiansen, MS Laursen, M Larsen, KA Steen, O Green, ...
Sensors 17 (11), 2579, 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
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
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
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
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
Sensor‐based assessment of herbicide effects
JC Streibig, J Rasmussen, D Andújar, C Andreasen, TW Berge, ...
Weed Research 54 (3), 223-233, 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
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
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
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
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
Sensing for Weed Detection
S Christensen, M Dyrmann, MS Laursen, RN Jørgensen, J Rasmussen
Sensing Approaches for Precision Agriculture, 275-300, 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
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
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
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
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
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