Anders Krogh Mortensen
Anders Krogh Mortensen
The AI Lab
Verified email at - Homepage
Cited by
Cited by
Kinect depth sensor evaluation for computer vision applications
MR Andersen, T Jensen, P Lisouski, AK Mortensen, MK Hansen, ...
Denmark–Technical report ECE-TR-6, 2012
Weight prediction of broiler chickens using 3D computer vision
AK Mortensen, P Lisouski, P Ahrendt
Computers and Electronics in Agriculture 123, 319-326, 2016
Semantic segmentation of mixed crops using deep convolutional neural network.
AK Mortensen, M Dyrmann, H Karstoft, RN Jørgensen, R Gislum
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
Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation
AK Mortensen, A Bender, B Whelan, MM Barbour, S Sukkarieh, H Karstoft, ...
Computers and Electronics in Agriculture 154, 373-381, 2018
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
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
Estimating the nitrogen nutrition index in grass seed crops using a UAV-mounted multispectral camera
H Wang, AK Mortensen, P Mao, B Boelt, R Gislum
International Journal of Remote Sensing 40 (7), 2467-2482, 2019
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
The use of multispectral imaging and single seed and bulk near-infrared spectroscopy to characterize seed covering structures: Methods and applications in seed testing and research
AK Mortensen, R Gislum, JR Jørgensen, B Boelt
Agriculture 11 (4), 301, 2021
Assessment of grass lodging using texture and canopy height distribution features derived from UAV visual-band images
S Tan, AK Mortensen, X Ma, B Boelt, R Gislum
Agricultural and Forest Meteorology 308, 108541, 2021
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
Preliminary results of clover and grass coverage and total dry matter estimation in clover-grass crops using image analysis
AK Mortensen, H Karstoft, K Søegaard, R Gislum, RN Jørgensen
Journal of Imaging 3 (4), 59, 2017
Camera assisted roadside monitoring for invasive alien plant species using deep learning
M Dyrmann, AK Mortensen, L Linneberg, TT Høye, K Bjerge
Sensors 21 (18), 6126, 2021
Disentangling information in artificial images of plant seedlings using semi-supervised GAN
SL Madsen, AK Mortensen, RN Jørgensen, H Karstoft
Remote Sensing 11 (22), 2671, 2019
Estimation of above-ground dry matter and nitrogen uptake in catch crops using images acquired from an octocopter
AK Mortensen, R Gislum, R Larsen, RN Jørgensen
Precision agriculture'15, 127-134, 2015
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
Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms
TST Tanaka, S Wang, JR Jørgensen, M Gentili, AZ Vidal, AK Mortensen, ...
Drones 8 (6), 212, 2024
The Use of Remote Sensing to Determine Nitrogen Status in Perennial Ryegrass (Lolium perenne L.) for Seed Production
R Gislum, S Thomopoulos, JG Gyldengren, AK Mortensen, B Boelt
Nitrogen 2 (2), 229-243, 2021
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, 639-645, 2019
The system can't perform the operation now. Try again later.
Articles 1–20