Farkhani, S., Kragh, M. F., Christiansen, P. H., Nyholm Jørgensen, R. & Karstoft, H. (2019).
Sparse-to-Dense Depth Completion in Precision Farming. I
Proceedings of the 3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Artikel 35 Association for Computing Machinery.
https://doi.org/10.1145/3387168.3387230
Skovsen, S., Laursen, M. S., Gislum, R., Eriksen, J., Dyrmann, M., Mortensen, A. K., Farkhani, S., Karstoft, H., Jensen, N.-P.
& Nyholm Jørgensen, R. (2019).
Species distribution mapping of grass clover leys using images for targeted nitrogen fertilization. I J. V. Stafford (red.),
Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 (s. 639-645). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-888-9_79
Skovsen, S., Dyrmann, M., Mortensen, A. K., Laursen, M. S., Gislum, R., Eriksen, J., Farkhani, S., Karstoft, H. & Nyholm Jørgensen, R. (2019).
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. Datasæt
https://vision.eng.au.dk/grass-clover-dataset/
Skovsen, S., Dyrmann, M., Mortensen, A. K., Laursen, M. S., Gislum, R., Eriksen, J., Farkhani, S., Karstoft, H. & Nyholm Jørgensen, R. (2019).
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. Poster session præsenteret på IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, California, USA.
Skovsen, S., Dyrmann, M., Mortensen, A. K., Laursen, M. S., Gislum, R., Eriksen, J., Farkhani, S., Karstoft, H. & Nyholm Jørgensen, R. (2019).
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. I
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops IEEE.
http://openaccess.thecvf.com/content_CVPRW_2019/html/CVPPP/Skovsen_The_GrassClover_Image_Dataset_for_Semantic_and_Hierarchical_Species_Understanding_CVPRW_2019_paper.html
Steen, K. A., Grooters, K., Høilund, C., Rasmussen, J.
, Nyholm Jørgensen, R., Dyrmann, M. & Green, O. (2018).
Automated Weed Intensity Mapping. I G. K. P.W.G. , C. Lokhorst, A. H. Ipema, C. Kempenaar, C. M. Groenestein , C. G. van Oostrum & N. J. Ros (red.),
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (s. 109). Wageningen University.
https://doi.org/10.18174/471678
Larsen, D.
, Skovsen, S., Steen, K. A., Grooters, K.
, Eriksen, J., Green, O.
& Nyholm Jørgensen, R. (2018).
Autonomous Mapping of Grass-Clover Ratio Based on Unmanned Aerial Vehicles and Convolutional Neural Networks. I
Proceedings of the 14th International Conference on Precision Agriculture Artikel 5107 International Society of Precision Agriculture.
https://www.ispag.org/proceedings/?action=download&item=5107
Christiansen, M. P., Laursen, M. S., Feld Mikkelsen, B.
, Nyholm Jørgensen, R., Teimouri, N. & Sørensen, C. A. G. (2018).
Current potentials and challenges using Sentinel-1 for broadacre field remote sensing. I
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (s. 56). Wageningen University.
https://doi.org/10.18174/471678
Madsen, S. L., Dyrmann, M., Laursen, M. S., Mathiassen, S. K. & Nyholm Jørgensen, R. (2018).
Data Acquisition Platform for Collecting High-Quality Images of Cultivated Weed. I P. W. G. Groot Koerkamp, C. Lokhorst , A. H. Ipema, C. Kempenaar, C. M. Groenestein, C. van Oostrum & N. Ros (red.),
Proceedings of the European Conference on Agricultural Engineering: AgEng2018 (s. 360-369). Wageningen University.
https://doi.org/10.18174/471679
Steen, K. A., Delebasse, S., Grooters, K., Høilund, C.
, Dyrmann, M., Skovsen, S., Nyholm Jørgensen, R. & Green, O. (2018).
In-field Potato Diseases Detection. I P. W. G. Groot Koerkamp, C. Lokhorst, A. H. Ipema, C. Kempenaar, C. M. Groenestein, C. G. van Oostrum & N. J. Ros (red.),
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (s. 111). Wageningen University.
https://doi.org/10.18174/471678
Korthals, T.
, Kragh, M. F., Christiansen, P., Karstoft, H., Nyholm Jørgensen, R. & Rückert, U. (2018).
Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation.
Frontiers in Robotics and AI,
5(MAR), Artikel 28.
https://doi.org/10.3389/frobt.2018.00028
Teimouri, N., Omid, M., Mollazade, K., Mousazadeh, H., Alimardani, R.
& Karstoft, H. (2018).
On-line separation and sorting of chicken portions using a robust vision-based intelligent modelling approach.
Biosystems Engineering,
167, 8-20.
https://doi.org/10.1016/j.biosystemseng.2017.12.009
Skovsen, S., Dyrmann, M., Eriksen, J., Gislum, R., Karstoft, H. & Nyholm Jørgensen, R. (2018).
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. I
Proceedings of the 14th International Conference on Precision Engineering Artikel 5079 International Society of Precision Agriculture.
https://ispag.org/proceedings/?action=abstract&id=5079
Skovsen, S., Dyrmann, M., Eriksen, J., Gislum, R., Karstoft, H. & Nyholm Jørgensen, R. (2018).
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. Abstract fra International Conference on Precision Agriculture, Montréal, Quebec, Canada.
https://ispag.org/proceedings/?action=abstract&id=5079&search=authors
Mortensen, A. K., Bender, A., Whelan, B., Barbour, M. M., Sukkarieh, S.
, Karstoft, H. & Gislum, R. (2018).
Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation.
Computers and Electronics in Agriculture,
154, 373-381.
https://doi.org/10.1016/j.compag.2018.09.010
Larsen, D., Steen, K. A.
, Skovsen, S., Grooters, K., Eriksen, J.
, Nyholm Jørgensen, R., Dyrmann, M. & Green, O. (2018).
Semantic Segmentation of Clover-Grass Images using Images from Commercially Available Drones. I P. W. G. Groot Koerkamp, C. Lokhorst , A. H. Ipema, C. Kempenaar, C. M. Groenestein, C. G. van Oostrum & N. J. Ros (red.),
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (s. 110). Wageningen University.
https://doi.org/10.18174/471678
Rydahl, P., Bojer, O. M.
, Jorgensen, R. N., Dyrmann, M., Andersen, P., Jensen, N. & Sorensen, M. (2018).
Spatial variability of optimized herbicide mixtures and dosages. I
Proceedings 14th International Conference on Precision Agriculture (ICPA2018) (s. 1-14). Artikel 5040 International Society of Precision Agriculture.
https://www.ispag.org/proceedings/?action=abstractid=5040
Dyrmann, M., Skovsen, S., Sørensen, R. A., Nielsen, P. R.
& Nyholm Jørgensen, R. (2018).
Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields. Abstract fra International Conference on Precision Agriculture, Montréal, Quebec, Canada.
Teimouri, N., Dyrmann, M., Nielsen, P. R.
, Mathiassen, S. K., Somerville, G. J. & Jørgensen, R. N. (2018).
Weed Growth Stage Estimator Using Deep Convolutional Neural Networks.
Sensors,
18(5), Artikel 1580.
https://doi.org/10.3390/s18051580
Christiansen, M. P., Laursen, M. S., Nyholm Jørgensen, R., Skovsen, S. & Gislum, R. (2017).
Designing and Testing a UAV Mapping System for Agricultural Field Surveying.
Sensors,
17(12), Artikel 2703.
https://doi.org/10.3390/s17122703
Laursen, M. S., Nyholm Jørgensen, R., Skov Midtiby, H.
, Mortensen, A. K. & Santhome, S. (2017).
Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops: Statistical Evaluation of the Potential Herbicide Savings.
International Journal of Agricultural and Biosystems Engineering,
11(4), 1285.
https://www.waset.org/abstracts/62424
Skovsen, S., Dyrmann, M., Mortensen, A. K., Steen, K. A., Green, O., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2017).
Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks.
Sensors,
17(12), Artikel 2930.
https://doi.org/10.3390/s17122930
Kragh, M. F., Christiansen, P., Laursen, M. S., Larsen, M., Steen, K. A.
, Green, O., Karstoft, H. & Jørgensen, R. N. (2017).
FieldSAFE: Dataset for Obstacle Detection in Agriculture.
Sensors,
17(11), Artikel 2579.
https://doi.org/10.3390/s17112579
Nyholm Jørgensen, R., Sørensen, R. A., Laursen, M. S., Rasmussen, J. & Nielsen, J. (2017).
FutureCropping Generering af tidselkort med Pix4D, DeepLearning og QGIS 18AUG2017. Billeder, Video- og Lydoptagelser (digital), YouTube.
https://www.youtube.com/watch?v=3X8h4U4o2-o
Jeppesen, J. H., Jacobsen, R. H., Nyholm Jørgensen, R., Halberg, A.
& Toftegaard, T. S. (2017).
Identification of High-Variation Fields based on Open Satellite Imagery.
Advances in Animal Biosciences,
8(2), 388-393.
https://doi.org/10.1017/S2040470017000693