Jørgensen, R. N., Sørensen, C. G., Green, O., Olesen, H. J., Olesen, H. J. & Cechetto, F. (2009).
Estimating grass-clover ratio variations caused by traffic intensities using image analysis.
Laursen, M. S., Nyholm Jørgensen, R., Midtiby, H. S., Jensen, K.
, Christiansen, M. P., Giselsson, T. M.
, Mortensen, A. K. & Jensen, P. K. (2016).
Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops.
Sensors,
16(11), Artikel 1848.
https://doi.org/10.3390/s16111848
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. 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.
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
Christiansen, P., N. Nielsen, L., A. Steen, K.
, Nyholm Jørgensen, R. & Karstoft, H. (2016).
DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field.
Sensors,
16(11), Artikel 1904.
https://doi.org/10.3390/s16111904
Fountas, S., Blackmore, B. S., Vougioiukas, S., Tang, L.
, Sørensen, C. A. G. & Jørgensen, R. (2007).
Decomposition of Agricultural tasks into Robotic Behaviours.
Agricultural Engineering International: CIGR Journal,
IX.
Fountas, S., Blackmore, B. S., Vougioukas, S. G., Tang, L., Sørensen, C. G.
& Jørgensen, R. N. (2007).
Decomposition of Agricultural tasks into Robotic Behaviours.
Agricultural Engineering International: CIGR Journal,
IX.
http://cigr-ejournal.tamu.edu/submissions/volume9/PM%2007%20006%20Blackmore%20final%202Oct2007.pdf
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
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
Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C.
& Gebreyesus, G. (2024).
Computer-vision based prediction of body traits and larval sex in black soldier fly. 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
Nawoya, S., Ssemakula, F., Akol, R.
, Geissmann, Q., Karstoft, H., Bjerge, K., Mwikirize, C., Katumba, A.
& Gebreyesus, G. (2024).
Computer vision and deep learning in insects for food and feed production: A review.
Computers and Electronics in Agriculture,
216, Artikel 108503.
https://doi.org/10.1016/j.compag.2023.108503
Bravo, C., Huizinga, P.
, Jørgensen, R., Olsen, H. J., Søgaard, H. T., Moshou, D., Jørgensen, M. H.
, Christensen, S. & Ramon, H. (2004).
Comparison of 2 different weed detection systems by use of the API. I
AgEng 2004, Leuven, Belgium. Book of Abstracts, ISBN 90-76019-258, 310-311. Paper on CD, 8 pp. (s. 8-8)
Christensen, S., Mouridsen, K., Wu, O., Hjort, N., Karstoft, H., Thomalla, G., Röther, J., Fiehler, J., Kucinski, T.
& Østergaard, L. (2009).
Comparison of 10 Perfusion MRI Parameters in 97 Sub 6 Hour Stroke Patients using Voxel based Receiver Operating Characteristics Analysis.
Stroke,
40(6), 2055-61.
https://doi.org/10.1161/STROKEAHA.108.546069
Green, O., Schmidt, T., Pietrzkowski, R. P., Jensen, K.
, Larsen, M. & Nyholm Jørgensen, R. (2014).
Commercial Autonomous Agricultural Platform - Kongskilde Robotti. I
Proceedings of the Second International Conference on Robotics, Associated High-Technologies and Equipment for Agriculture and Forestry - RHEA 2014: New trends in mobile robotics, perception and actuation for agriculture and forestry (s. 351-356)
Mortensen, A. K., Karstoft, H., Nyholm Jørgensen, R., Larsen, R., Jørgensen, J. R. & Gislum, R. (2015).
BioMap - Mapping of Biomass using UAV.
http://dce-conference.au.dk/fileadmin/dce-conference.au.dk/Abstracts15/28_Mortensen.pdf
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.
Gislum, R., Larsen, R., Thomsen, I. K., Greve, M. B., Hansen, E. M. & Nyholm Jørgensen, R., (2023).
Betingelse for indsamling af data til brug for omregningsfaktor mellem NDV/NDRE og planteoptag af kvælstof, Nr. 2023-0543874, 8 s., aug. 23, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
Gislum, R., Nyholm Jørgensen, R., Thomsen, I. K., Hansen, E. M. & Olesen, J. E., (2019).
Beskrivelse af setup for vidensindsamling og måling af NDVI-værdi i pilotprojekt om biomasse, Nr. 2019-760-001283, 3 s., jul. 03, 2019.