Christensen, S., Søgaard, H. T., Kudsk, P., Nørremark, M., Lund, I., Shahrak Nadimi, E.
& Jørgensen, R. N. (2009).
Site Specific Weed Control Technologies.
Weed Research,
49(3), 225-232.
https://doi.org/10.1111/j.1365-3180.2009.00694.xSimonsen, O. H., Karstoft, H., Kappel, S. L., Hermann, D.
, Rathleff, M. S. & Ahrendt, P. (2013).
Stretch Sensor Device. (Patent No.
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
Suvei, S.-D., Bodenhagen, L., Kiforenko, L.
, Christiansen, P., Nyholm Jørgensen, R., Buch, A. G. & Krüger, N. (2016).
Stereo and active-sensor data fusion for improved stereo block matching. In A. Campilho, A. Campilho & F. Karray (Eds.),
Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings: Proceedings of 13th International Conference ICIAR in Memory of Mohamed Kamel (Vol. 9730, pp. 451-461). Springer.
https://doi.org/10.1007/978-3-319-41501-7_51Skovsen, 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. In J. V. Stafford (Ed.),
Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 (pp. 639-645). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-888-9_79
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. In
Proceedings 14th International Conference on Precision Agriculture (ICPA2018) (pp. 1-14). Article 5040 International Society of Precision Agriculture.
https://www.ispag.org/proceedings/?action=abstractid=5040Farkhani, S., Kragh, M. F., Christiansen, P. H., Nyholm Jørgensen, R. & Karstoft, H. (2019).
Sparse-to-Dense Depth Completion in Precision Farming. In
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 Article 35 Association for Computing Machinery.
https://doi.org/10.1145/3387168.3387230
Jensen, T., Munkholm, L. J., Green , O.
& Karstoft, H. (2015).
Soil Surface Roughness Using Cumulated Gaussian Curvature. In L. Nalpantidis, V. Krüger, J.-O. Eklundh & A. Gasteratos (Eds.),
Computer Vision Systems : 10th International Conference, ICVS 2015, Proceedings (pp. 533-541). Springer.
https://doi.org/10.1007/978-3-319-20904-3_48
Lati, R. N.
, Rasmussen, J., Andujar, D., Dorado, J., Berge, T. W., Wellhausen, C., Pflanz, M., Nordmeyer, H., Schirrmann, M., Eizenberg, H., Neve, P.
, Jørgensen, R. N. & Christensen, S. (2021).
Site-specific weed management—constraints and opportunities for the weed research community: Insights from a workshop.
Weed Research,
61(3), 147-153.
https://doi.org/10.1111/wre.12469Streibig, J. C., Rasmussen, J., Andujar, D., Andreasen, C., Berge, T. W., Chachalis, D., Dittmann, T., Gerhards, R., Giselsson, T. M., Hamouz, P., Jaeger-Hansen, C., Jensen, K.
, Nyholm Jørgensen, R., Keller, M., Laursen, M., Midtiby, H. S., Nielsen, J., Müller, S., Nordmeyer, H. ... Christensen, S. (2014).
Sensor-based assessment of herbicide effects.
Weed Research,
54(3), 223–233.
https://doi.org/10.1111/wre.12079Larsen, 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. In P. W. G. Groot Koerkamp, C. Lokhorst , A. H. Ipema, C. Kempenaar, C. M. Groenestein, C. G. van Oostrum & N. J. Ros (Eds.),
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018 (pp. 110). Wageningen University.
https://doi.org/10.18174/471678Mortensen, 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
Sveistrup, D.
, Jørgensen, R. N., Nørremark, M., Green, O., Sørensen, C. A. G. & S. Nadimi, E. (2010).
RoPDeF - semi-automated and web-based Route Plan Designer of full-scale Field trials for tractor guidance systems. In
Conference on Precision Crop Protection (Vol. 3).
http://www.precision-crop-protection.uni-bonn.de/gk_conference/abstracts_2010.pdfSkovsen, 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), Article 175.
https://doi.org/10.3390/s21010175
Nielsen, P. R., Jensen, N.-P.
, Dyrmann, M., Nielsen, P.-H.
& Nyholm Jørgensen, R. (2017).
RoboWeedSupport - Presentation of a cloud based system bridging the gap between in-field weed inspections and decision support systems.
Advances in Animal Biosciences,
8(2), 860-864.
https://doi.org/10.1017/S2040470017001054
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. Pictures, Video and sound recordings (digital), YouTube.
Bochtis, D., Sørensen, C. A. G., Jørgensen, R. N., Nørremark, M., Hameed, I. A. & Swain, K. C. (2011).
Robotic weed monitoring.
Acta Agriculturae Scandinavica, Section B - Soil & Plant Science,
61(3), 202-208.
https://doi.org/10.1080/09064711003796428
