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.
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Robotic weed monitoring.
Acta Agriculturae Scandinavica, Section B - Soil & Plant Science,
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Green, O.
, Jørgensen, R. N., Kristensen, K., Gislum, R., Bochtis, D. & Sørensen, C. A. G. (2010).
Reduction in clover-grass yield caused by different traffic intensities.
Jørgensen, R., Sørensen, C. A. G., Bak, T. & Moore, K. (2004).
Rational agents for agricultural crop surveying: Adaptive task and motion planning. I
Proc. 5th int. workshop on Artificial Intelligence in Agriculture (AIA'2004), (Rafea, M., (ed.)), Cairo, Egypt (s. 11-16)
Madsen, S. L., Karstoft, H., Nyholm Jørgensen, R., Nørremark, M., Khokhar, Y., Gomez, J. S., pier van Gosliga, S. & Jaakkola, K. (2017).
Quantifying behaviour of dairy cows via multi-stage Support Vector Machines. I D. Berckmans & A. Keita (red.),
Book of proceedings: 8th European Conference on Precision Livestock Farming: ECPLF 2017 (s. 90-100)
Gebreyesus, G., Cheruiyot Bett , R., Nakimbugwe, D.
, Hansen, L. S., Nielsen, H. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., MBI Tanga, C., Mwikirize, C., Akol, R., Katumba, A., Khamis, F., Kinyua, J., Walusimbi, S., Geoffrey, S., Roos, N.
& Sahana, G. (2024).
Prospects of implementing black soldier fly (BSF) selective breeding in Kenya and Uganda: Status from the FlyGene Project. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya.
https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf
Christiansen, M. P.
, Teimouri, N., Laursen, M. S., Mikkelsen, B. F.
, Jorgensen, R. N. & Sorensen, C. A. G. (2019).
Preprocessed sentinel-1 data via a web service focused on agricultural field monitoring.
IEEE Access,
7(1), 65139-65149. Artikel 8715769.
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Mortensen, A. K., Karstoft, H., Søegaard, K., Gislum, R. & Nyholm Jørgensen, R. (2017).
Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis.
Journal of Imaging,
3(4), Artikel 59.
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& Karstoft, H. (2022).
Predicting embryo viability based on self-supervised alignment of time-lapse videos.
IEEE Transactions on Medical Imaging,
41(2), 465-475.
https://doi.org/10.1109/TMI.2021.3116986
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
Christiansen, P., Kragh, M. F., Steen, K. A., Karstoft, H. & Nyholm Jørgensen, R. (2017).
Platform for evaluating sensors and human detection in autonomous mowing operations.
Precision Agriculture,
18(3), 1-16.
https://doi.org/10.1007/s11119-017-9497-6
Madsen, S. L., Mathiassen, S. K., Dyrmann, M., Laursen, M. S., Paz, L.-C. & Nyholm Jørgensen, R. (2020).
Open Plant Phenotype Database of Common Weeds in Denmark.
Remote Sensing,
12(8), Artikel 1246.
https://doi.org/10.3390/rs12081246
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
Eriksen, J., Frandsen, T. S., Knudsen, L.
, Skovsen, S., Nyholm Jørgensen, R., Steen, K. A.
, Green, O. & Rasmussen, J. (2019).
Nitrogen fertilization of grass-clover leys. I O. Huguenin-Elie, B. Studer, R. Kölliker, D. Reheul, M. Probo, P. Barre, U. Feuerstein, I. Roldan-Ruiz, P. Mariotte & A. Hopkins (red.),
Improving sown grasslands through breeding and management: Proceedings of the Joint 20th Symposium of the European Grassland Federation and the 33rd Meeting of the EUCARPIA Section "Fodder Crops and Amenity Grasses", Zürich, Switzerland, 24-27 June 2019 (s. 103-109). Wageningen Academic Publishers.
Dobbs, A. M., Ginn, D.
, Skovsen, S. K., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2022).
New directions in weed management and research using 3D imaging.
Weed Science,
70(6), 641-647.
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Jørgensen, R., Jørgensen, B. J., Nielsen, N. E., Maag, M. & Lind, A.-M. (1997).
N2O emission from energy crop fields with Miscanthus Giganteus and winter rye.
Atmospheric Environment,
31, 2899-2904.
Jørgensen, R. N., Jørgensen, B. J., Nielsen, N. E.
, Maag, M. M. & Lind, A.-M. (1997).
N2O emission from energy crop fields of Miscanthus " giganteus" and winter rye.
Atm. Environ,
31, 2899-2904.