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), Article 2579.
https://doi.org/10.3390/s17112579
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
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. In D. Berckmans & A. Keita (Eds.),
Book of proceedings: 8th European Conference on Precision Livestock Farming: ECPLF 2017 (pp. 90-100)
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), Article 59.
https://doi.org/10.3390/jimaging3040059
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., Sørensen, R. A., Laursen, M. S., Rasmussen, J. & Nielsen, J. (2017).
FutureCropping Generering af tidselkort med Pix4D, DeepLearning og QGIS 18AUG2017. Pictures, Video and sound recordings (digital), YouTube.
https://www.youtube.com/watch?v=3X8h4U4o2-o
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), Article 2930.
https://doi.org/10.3390/s17122930
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), Article 1904.
https://doi.org/10.3390/s16111904
Christiansen, P., Sørensen, R., Skovsen, S., Jæger, C. D.
, Nyholm Jørgensen, R., Karstoft, H. & Steen, K. A. (2016).
Towards Autonomous Plant Production using Fully Convolutional Neural Networks. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark.
http://conferences.au.dk/uploads/tx_powermail/2016cigr-towardsautomousplantproductionusingfullyconvolutionalneuralnetworks.pdf
Green, O.
, Edwards, G. T. C., Jæger, C. D.
, Steen, K. A., Christiansen, P., Dyrmann, M.
& Nyholm Jørgensen, R. (2016).
Udviklingen inden for præcisionsjordbrug og tilknyttet udstyr. In
Plantekongres 2016 (pp. 250-251). Article 66
https://www.landbrugsinfo.dk/Planteavl/Plantekongres/Filer/pl_plk2016_res_66_2_Ole_Green.pdf Hansen, M. K., Christiansen, P., Korthals, T., Jungeblut, T.
, Karstoft, H. & Nyholm Jørgensen, R. (2016).
Multi-modal Obstacle Detection and Evaluation of Occupancy Grid Mapping in Agriculture. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark.
http://conferences.au.dk/uploads/tx_powermail/2016cigr_-_multi-modal_obstacle_detection_and_evaluation_of_evidence_grid_mapping_in_agriculture.pdf
Jensen, K.
, Laursen, M. S., M. Neerup, M., Skriver, M.
, Larsen, R. & Nyholm Jørgensen, R. (2016).
Towards UAV contour flight over agricultural fields using RTK-GNSS and a Digital Elevation Model. Paper presented at International Conference on Agricultural Engineering 2016, Aarhus, Denmark.
http://conferences.au.dk/uploads/tx_powermail/2016_cigr_towards_uav_contour_flight_over_agricultural_fields.pdfLaursen, 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), Article 1848.
https://doi.org/10.3390/s16111848
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_51Christiansen, P., Hansen, M. K., Steen, K. A., Karstoft, H. & Nyholm Jørgensen, R. (2015).
Advanced sensor platform for human detection and protection in autonomous farming. In J. V. Stafford (Ed.),
Precision agriculture '15: Papers presented at the 10th European Conference on Precision Agriculture (Vol. 2015, pp. 291-298). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-814-8_35
