Rasmus Nyholm Jørgensen
Rasmus Nyholm Jørgensen
Senior Scientist, AgroIntelli
agrointelli.com의 이메일 확인됨 - 홈페이지
Site‐specific weed control technologies
S Christensen, HT Søgaard, P Kudsk, M Nørremark, I Lund, ES Nadimi, ...
Weed Research 49 (3), 233-241, 2009
Monitoring and classifying animal behavior using ZigBee-based mobile ad hoc wireless sensor networks and artificial neural networks
ES Nadimi, RN Jørgensen, V Blanes-Vidal, S Christensen
Computers and Electronics in Agriculture 82, 44-54, 2012
Automated detection and recognition of wildlife using thermal cameras
P Christiansen, KA Steen, RN Jørgensen, H Karstoft
Sensors 14 (8), 13778-13793, 2014
Monitoring and modeling temperature variations inside silage stacks using novel wireless sensor networks
O Green, ES Nadimi, V Blanes-Vidal, RN Jørgensen, IMLD Storm, ...
Computers and Electronics in Agriculture 69 (2), 149-157, 2009
Estimation of leaf area index in cereal crops using red–green images
K Kirk, HJ Andersen, AG Thomsen, JR Jørgensen, RN Jørgensen
Biosystems Engineering 104 (3), 308-317, 2009
DeepAnomaly: Combining background subtraction and deep learning for detecting obstacles and anomalies in an agricultural field
P Christiansen, LN Nielsen, KA Steen, RN Jørgensen, H Karstoft
Sensors 16 (11), 1904, 2016
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
RoboWeedSupport-Detection of weed locations in leaf occluded cereal crops using a fully convolutional neural network
M Dyrmann, RN Jørgensen, HS Midtiby
Adv. Anim. Biosci 8 (2), 842-847, 2017
N2O emission from energy crop fields of Miscanthus “Giganteus” and winter rye
RN Jørgensen, BJ Jørgensen, NE Nielsen, M Maag, AM Lind
Atmospheric Environment 31 (18), 2899-2904, 1997
Semantic segmentation of mixed crops using deep convolutional neural network.
AK Mortensen, M Dyrmann, H Karstoft, RN Jørgensen, R Gislum
CIGR-AgEng Conference, 26-29 June 2016, Aarhus, Denmark. Abstracts and Full …, 2016
Modelling nitrogen and phosphorus content at early growth stages in spring barley using hyperspectral line scanning
LK Christensen, BS Bennedsen, RN Jørgensen, H Nielsen
Biosystems Engineering 88 (1), 19-24, 2004
N2O emission immediately after rainfall in a dry stubble field
RN JØrgensen, BJ JØrgensen, NE Nielsen
Soil biology & biochemistry 30 (4), 545-546, 1998
Hortibot: A system design of a robotic tool carrier for high-tech plant nursing
RN Jorgensen, CG Sorensen, J Maagaard, I Havn, K Jensen, HT Sogaard, ...
International Commission of Agricultural Engineering, 2007
Mission planner for agricultural robotics
CG Sørensen, T Bak, RN Jørgensen
AgEng 2004, 894-895, 2004
Using deep learning to challenge safety standard for highly autonomous machines in agriculture
KA Steen, P Christiansen, H Karstoft, RN Jørgensen
Journal of Imaging 2 (1), 6, 2016
Object detection and terrain classification in agricultural fields using 3D lidar data
M Kragh, RN Jørgensen, H Pedersen
International conference on computer vision systems, 188-197, 2015
A public image database for benchmark of plant seedling classification algorithms
TM Giselsson, RN Jørgensen, PK Jensen, M Dyrmann, HS Midtiby
arXiv preprint arXiv:1711.05458, 2017
Weed identification using an automated active shape matching (AASM) technique
KC Swain, M Nørremark, RN Jørgensen, HS Midtiby, O Green
biosystems engineering 110 (4), 450-457, 2011
Screening of the frail patient in the emergency department: a systematic review
R Jørgensen, M Brabrand
European journal of internal medicine 45, 71-73, 2017
Pixel-wise classification of weeds and crops in images by using a fully convolutional neural network
M Dyrmann, AK Mortensen, HS Midtiby, RN Jørgensen
Proceedings of the International Conference on Agricultural Engineering …, 2016
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