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
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., 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. K., Laursen, M. S., Kristensen, R. K., Rasmussen, J., Dyrmann, M., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2021).
Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks.
Sensors,
21( 1), Artikel 175.
https://doi.org/10.3390/s21010175
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
Skovsen, S. K., Kutugata, M., Jennewein, J., Reberg-Horton, C. S. & Mirsky, S. B. (2023).
Detailed Species Competition Mapping of Mixed Cover Crop Species Using Tractor Mounted Color Camera and Computer Vision. Abstract fra 2023 ASA/CSSA/SSSA International Annual Meeting, St. Louis, Missouri, USA.
Simonsen, O. H., Karstoft, H., Kappel, S. L., Hermann, D.
, Rathleff, M. S. & Ahrendt, P. (2013).
Stretch Sensor Device. (Patentnummer
PCT/DK2012/050341, WO2013041101).
http://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2013041101A1&KC=A1&FT=D&ND=3&date=20130328&DB=EPODOC&locale=dk_DK
Siboska, D. & Karstoft, H. (2015).
Using illumination changes to synchronize eye tracking in visual paradigms. I G. Plantier, T. Schlutz, A. Fred & H. Gamboa (red.),
Biomedical Engineering Systems and Technologies: 7th International Joint Conference, BIOSTEC 2014, Angers, France, March 3-6, 2014, Revised Selected Papers (Bind 511, s. 289-298)
https://doi.org/10.1007/978-3-319-26129-4_19
Shahrak Nadimi, E., Andersson, K. J.
, Jørgensen, R. N., Maagaard, J., Mathiassen, S. K. & Christensen, S. (2009).
Designing, modeling and controlling a novel autonomous laser weeding system. I
Conference papers (s. 1). World Congress on Computers in Agriculture.
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
Rasmussen, M. D., Nyholm Jørgensen, R., Steen, K. A., Asferg, T. & Therkildsen, O. R., (2014).
Bidrag til besvarelse af FLF spørgsmål 356 vedrørende vildtvenlige høstmetoder og udvikling i vildtbestand, Nr. 1233137, 4 s., maj 23, 2014.
Pedersen, M. N., Letschnik, J., Schelde, L.
, Karstoft, H., Schurig, F. & Walter, U. (2013).
Three-dimensional radiation pattern measurement strategy for ground station antennas.
International Journal of Satellite Communications and Networking,
31(1), 39-50.
https://doi.org/10.1002/sat.1020
Olesen, C. R., Nielsen, L., Hald, A. B., Fris, H. J., Madsen, C. F.
, Nyholm Jørgensen, R., Larsen, R. & Laursen, M. S. (2015).
Vildtforvaltning i forbindelse med biomassehøst i ådale: Bedre forhold for vildtet og færre påkørsler.
Nyholm Jørgensen, R., Brandt , M. B.
, Schmidt, T., Laursen, M. S., Larsen, R., Nørremark, M., Midtiby, H. S.
& Christiansen, P. (2015).
Field trial design using semi-automated conventional machinery and aerial drone imaging for outlier identification. I J. V. Stafford (red.),
Precision agriculture '15: Papers presented at the 10th European Conference on Precision Engineering (Bind 2015, s. 151-158). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-814-8_18
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
Nyholm Jørgensen, R., Laursen, M. S., Teimouri, N., Madsen, S. L., Dyrmann, M., Somerville, G. J. & Mathiassen, S. K. (2019).
RoboWeedMaps - Automated weed detection and mapping - Invited talk at SSWM 2019, SDU, Odense Denmark. Billeder, Video- og Lydoptagelser (digital), YouTube.
Nielsen, K. K., Andersen, H. J., Thomsen, A., Jørgensen, J. R.
& Jørgensen, R. N. (2009).
Estimation of leaf area index in cereal crops using red–green images.
Biosystems Engineering,
104(3), 308-317.
https://doi.org/10.1016/j.physletb.2003.10.071