Morten Stigaard Laursen
Morten Stigaard Laursen
Verified email at eng.au.dk
Title
Cited by
Cited by
Year
Designing and Testing a UAV Mapping System for Agricultural Field Surveying
MP Christiansen, MS Laursen, RN Jørgensen, S Skovsen, R Gislum
UAV or Drones for Remote Sensing Applications: Volume 1 1, 83, 2018
542018
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
542017
Field trial design using semi-automated conventional machinery and aerial drone imaging for outlier identification
RN Jørgensen, MB Brandt, T Schmidt, MS Laursen, R Larsen, ...
Precision Agriculture'15, 2015
40*2015
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
192016
FieldSAFE: Dataset for Obstacle Detection in Agriculture
MF Kragh, P Christiansen, MS Laursen, M Larsen, KA Steen, O Green, ...
Sensors 17 (11), 2579, 2017
182017
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
122014
Sensor‐based assessment of herbicide effects
JC Streibig, J Rasmussen, D Andújar, C Andreasen, TW Berge, ...
Weed Research 54 (3), 223-233, 2014
102014
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
92018
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
62018
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
42013
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 (6), 1199-1210, 2019
22019
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 Conference on Computer Vision and Pattern …, 2019
22019
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
22018
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
22017
VALIDATION OF MODICOVI-MONOCOT AND DICOT COVERAGE RATIO VISION BASED METHOD FOR REAL TIME ESTIMATION OF CANOPY COVERAGE RATIO BETWEEN CEREAL CROPS AND DICOTYLEDON WEEDS
MS Laursen, HS Midtiby, RN Jørgensen, N Krüger
22012
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
22012
Data Acquisition Platform for Collecting High-Quality Images of Cultivated Weed
SL Madsen, M Dyrmann, MS Laursen, SK Mathiassen, RN Jørgensen
EurAgEng 2018, 2018
12018
Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops: Statistical Evaluation of the Potential Herbicide Savings
MS Laursen, RN Jørgensen, HS Midtiby, AK Mortensen, S Baby
World Academy of Science, Engineering and Technology, International Journal …, 2017
12017
Improving the segmentation for weed recognition applications based on standard RGB cameras using optical filters
M Laursen, H Midtiby, R Jørgensen
Agromek and NJF joint seminar, 2014
12014
MODICOVI-Monocot and dicot coverage ratio vision based method for real time estimation of canopy coverage ratio between cereal and dicotyledon weeds
HS Midtiby, MS Laursen, RN Jørgensen, N Krüger
International conference of Agricultural Engineering, 2012
12012
The system can't perform the operation now. Try again later.
Articles 1–20