Søren Skovsen
Søren Skovsen
PhD Student, Aarhus University
eng.au.dk의 이메일 확인됨 - 홈페이지
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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
752017
Estimation of the botanical composition of clover-grass leys from RGB images using data simulation and fully convolutional neural networks
S Skovsen, M Dyrmann, AK Mortensen, KA Steen, O Green, J Eriksen, ...
Sensors 17 (12), 2930, 2017
302017
Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields
M Dyrmann, S Skovsen, MS Laursen, RN Jørgensen
International Conference on Precision Agriculture. International Society of …, 2018
142018
Towards Autonomous Plant Production using Fully Convolutional Neural Networks
P Christiansen, R Sørensen, S Skovsen, CD Jæger, RN Jørgensen, ...
Towards Autonomous Plant Production Using Fully Convolutional Neural Networks, 2016
11*2016
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
102019
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
82018
The Oil Radish Growth Dataset for Semantic Segmentation and Yield Estimation.
AK Mortensen, S Skovsen, H Karstoft, R Gislum
CVPR Workshops, 2703-2710, 2019
52019
Predicting dry matter composition of grass clover leys using data simulation and camera-based segmentation of field canopies into white clover, red clover, grass and weeds
S Skovsen, M Dyrmann, J Eriksen, R Gislum, H Karstoft, RN Jørgensen
Proceedings of the 14th International Conference on Precision Agriculture …, 2018
52018
A novel locating system for cereal plant stem emerging points’ detection using a convolutional neural network
H Karimi, S Skovsen, M Dyrmann, R Nyholm Jørgensen
Sensors 18 (5), 1611, 2018
32018
Autonomous mapping of grass-clover ratio based on unmanned aerial vehicles and convolutional neural networks
D Larsen, S Skovsen, AK Steen, K Grooters, J Eriksen, O Green, ...
Proceedings of the 14th International Conference on Precision Agriculture …, 2018
32018
Species distribution mapping of grass clover leys using images for targeted nitrogen fertilization
S Skovsen, MS Laursen, R Gislum, J Eriksen, M Dyrmann, AK Mortensen, ...
Precision agriculture’19, 669-682, 2019
22019
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, 2021
12021
The Oil Radish Growth Dataset for Semantic Segmentation and Yield Estimation
A Krogh Mortensen, S Skovsen, H Karstoft, R Gislum
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
12019
Decoupled Localization and Sensing with HMD-based AR for Interactive Scene Acquisition
SK Skovsen, H Haraldsson, A Davis, H Karstoft, S Belongie
2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct …, 2020
2020
Initial evaluation of enriching satellite imagery using sparse proximal sensing in precision farming
S Farkhani, SK Skovsen, AK Mortensen, MS Laursen, RN Jørgensen, ...
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXII 11528, 115280A, 2020
2020
Overfitting a convolutional neural network to support annotations of weeds
M Dyrmann, RN Jørgensen, MS Laursen, S Skovsen
Precision agriculture’19, 2930, 2019
2019
Head-mounted Augmented Reality for Guided Surface Reflectance Capture
H Haraldsson, C Tech, S Skovsen, SN Lim, S Marschner, S Belongie, ...
Nitrogen fertilization of grass-clover leys
J Eriksen, TS Frandsen, L Knudsen, S Skovsen, RN Jørgensen, KA Steen, ...
Research Collection, 103, 0
Hierarchical multi-label Classification of Plant Images using Convolutional Neural Network
M Dyrmann, S Skovsen, RN Jørgensen
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학술자료 1–19