Sensing for Weed Detection. / Christensen, Svend; Dyrmann, Mads; Nyholm Jørgensen, Rasmus; Laursen, Morten Stigaard.
Sensing Approaches for Precision Agriculture. Cham : Springer, 2021. s. 275-300 (Progress in Precision Agriculture).Publikation: Bidrag til bog/antologi/rapport/proceeding › Bidrag til bog/antologi › Forskning
Weed classification using explainable multi-resolution slot attention. / Farkhani, Sadaf; Skovsen, Søren Kelstrup; Dyrmann, Mads; Nyholm Jørgensen, Rasmus; Karstoft, Henrik.
I: Sensors, Bind 21, Nr. 20, 6705, 09.10.2021.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning. / Dyrmann, Mads; Mortensen, Anders Krogh; Linneberg, Lars; Høye, Toke Thomas; Bjerge, Kim.
I: Sensors (Switzerland), Bind 21, Nr. 18, 6126, 09.2021.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. / Skovsen, Søren Kelstrup; Laursen, Morten Stigaard; Kristensen, Rebekka Kjeldgaard; Rasmussen, Jim; Dyrmann, Mads; Eriksen, Jørgen; Gislum, René; Nyholm Jørgensen, Rasmus; Karstoft, Henrik.
I: Sensors, Bind 21, Nr. 1, 175, 01.2021.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Camera-based estimation of sugar beet stem points and weed cover using convolutional neural networks. / Dyrmann, Mads; Skovsen, Søren Kelstrup; Christiansen, Peter Hviid.
Precision agriculture ’21. 2021. s. 307-313 (Precision agriculture ’21).Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
Open Plant Phenotype Database of Common Weeds in Denmark. / Madsen, Simon Leminen; Mathiassen, Solvejg K; Dyrmann, Mads; Laursen, Morten Stigaard; Paz, Laura-Carlota; Nyholm Jørgensen, Rasmus.
I: Remote Sensing, Bind 12, Nr. 8, 1246, 04.2020.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Generating artificial images of plant seedlings using generative adversarial networks. / Madsen, Simon Leminen; Dyrmann, Mads; Nyholm Jørgensen, Rasmus; Karstoft, Henrik.
I: Biosystems Engineering, Bind 187, 11.2019, s. 147-159.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Publikation: Bidrag der ikke har en tekstform › Billeder, Video- og Lydoptagelser (digital) › Formidling
Species distribution mapping of grass clover leys using images for targeted nitrogen fertilization. / Skovsen, Søren; Laursen, Morten Stigaard; Gislum, René; Eriksen, Jørgen; Dyrmann, Mads; Mortensen, Anders Krogh; Farkhani, Sadaf; Karstoft, Henrik; Jensen, Niels-Peter; Nyholm Jørgensen, Rasmus.
Precision agriculture ’19. Wageningen Academic Publishers, 2019. s. 639-645.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. / Skovsen, Søren; Dyrmann, Mads; Mortensen, Anders Krogh; Laursen, Morten Stigaard; Gislum, René; Eriksen, Jørgen; Farkhani, Sadaf; Karstoft, Henrik; Nyholm Jørgensen, Rasmus.
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. IEEE, 2019.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
Publikation: Bidrag der ikke har en tekstform › Datasæt › Forskning › peer review
A novel spatio-temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images. / Teimouri, Nima; Dyrmann, Mads; Nyholm Jørgensen, Rasmus.
I: Remote Sensing, Bind 11, Nr. 8, 990, 04.2019.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Marrying futuristic weed mapping with current herbicide sprayer capacities. / Somerville, Gaylene Jill; Nyholm Jørgensen, Rasmus; Bojer, O M; Rydahl, P; Dyrmann, Mads; Andersen, P; Jensen, N-P; Green, O.
Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. red. / John V. Stafford. Wageningen : Wageningen Academic Publishers, 2019. s. 231-237.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. / Skovsen, Søren; Dyrmann, Mads; Mortensen, Anders Krogh; Laursen, Morten Stigaard; Gislum, René; Eriksen, Jørgen; Farkhani, Sadaf; Karstoft, Henrik; Nyholm Jørgensen, Rasmus.
2019. Poster session præsenteret ved IEEE Conference on Computer Vision and Pattern Recognition 2019, Long Beach, California, USA.Publikation: Konferencebidrag › Poster › Forskning
Automated Weed Intensity Mapping. / Steen, Kim Arild; Grooters, Kevin ; Høilund, Carsten; Rasmussen, Jesper; Nyholm Jørgensen, Rasmus; Dyrmann, Mads; Green, Ole.
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018. Wageningen : Wageningen University, 2018. s. 109.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferenceabstrakt i proceedings › Forskning › peer review
Data Acquisition Platform for Collecting High-Quality Images of Cultivated Weed. / Madsen, Simon Leminen; Dyrmann, Mads; Laursen, Morten Stigaard; Mathiassen, Solvejg Kopp; Nyholm Jørgensen, Rasmus.
Proceedings of the European Conference on Agricultural Engineering: AgEng2018. Wageningen : Wageningen University, 2018. s. 360-369.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
In-field Potato Diseases Detection. / Steen, Kim Arild; Delebasse, Stephanie; Grooters, Kevin ; Høilund, Carsten; Dyrmann, Mads; Skovsen, Søren; Nyholm Jørgensen, Rasmus; Green, Ole .
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018. Wageningen : Wageningen University, 2018. s. 111.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferenceabstrakt i proceedings › Forskning › peer review
Semantic Segmentation of Clover-Grass Images using Images from Commercially Available Drones. / Larsen, Dennis; Steen, Kim Arild; Skovsen, Søren; Grooters, Kevin ; Eriksen, Jørgen; Nyholm Jørgensen, Rasmus; Dyrmann, Mads; Green, Ole .
Book of Abstracts of the European Conference on Agricultural Engineering: AgEng2018. Wageningen : Wageningen University, 2018. s. 110.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferenceabstrakt i proceedings › Forskning › peer review
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. / Skovsen, Søren; Dyrmann, Mads; Eriksen, Jørgen; Gislum, René; Karstoft, Henrik; Nyholm Jørgensen, Rasmus.
Proceedings of the 14th International Conference on Precision Engineering. Montreal : International Society of Precision Agriculture, 2018. 5079.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning
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. / Skovsen, Søren; Dyrmann, Mads; Eriksen, Jørgen; Gislum, René; Karstoft, Henrik; Nyholm Jørgensen, Rasmus.
2018. Abstract fra International Conference on Precision Agriculture, Montréal, Quebec, Canada.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › peer review
Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields. / Dyrmann, Mads; Skovsen, Søren; Sørensen, René A.; Nielsen, Per Rydahl; Nyholm Jørgensen, Rasmus.
2018. Abstract fra International Conference on Precision Agriculture, Montréal, Quebec, Canada.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › peer review
Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields. / Dyrmann, Mads; Skovsen, Søren; Laursen, Morten Stigaard; Nyholm Jørgensen, Rasmus.
Proceedings of the 14th International Conference on Precision Agriculture. International Society of Precision Agriculture, 2018.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning
A Novel Locating System for Cereal Plant Stem Emerging Points’ Detection Using a Convolutional Neural Network. / Karimi, Hadi; Skovsen, Søren; Dyrmann, Mads; Nyholm Jørgensen, Rasmus.
I: Sensors, Bind 18 , Nr. 5, 1611, 18.05.2018.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Weed Growth Stage Estimator Using Deep Convolutional Neural Networks. / Teimouri, Nima; Dyrmann, Mads; Nielsen, Per Rydahl; Mathiassen, Solvejg Kopp; Somerville, Gayle J.; Jørgensen, Rasmus Nyholm.
I: Sensors, Bind 18, Nr. 5, 1580, 16.05.2018.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Estimation of plant species by classifying plants and leaves in combination. / Dyrmann, Mads; Christiansen, Peter; Midtiby, Henrik Skov.
I: Journal of Field Robotics, Bind 35, Nr. 2, 2018, s. 202-212.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Spatial variability of optimized herbicide mixtures and dosages. / Rydahl, Per; Bojer, Ole M; Jorgensen, Rasmus N; Dyrmann, Mads; Andersen, Per; Jensen, Niels-peter; Sorensen, Martin.
Proceedings 14th International Conference on Precision Agriculture (ICPA2018). Montreal, Canada : International Society of Precision Agriculture, 2018. s. 1-14 5040.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning
Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. / Skovsen, Søren; Dyrmann, Mads; Mortensen, Anders Krogh; Steen, Kim Arild; Green, Ole; Eriksen, Jørgen; Gislum, René; Nyholm Jørgensen, Rasmus; Karstoft, Henrik.
I: Sensors, Bind 17, Nr. 12, 2930, 17.12.2017.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Publikation: Bidrag der ikke har en tekstform › Billeder, Video- og Lydoptagelser (digital) › Formidling
A Public Image Database for Benchmark of Plant Seedling Classification Algorithms. / Giselsson, Thomas Mosgaard; Nyholm Jørgensen, Rasmus; Jensen, Peter Kryger; Dyrmann, Mads; Midtiby, Henrik Skov.
arXiv.org, 2017.Publikation: Working paper/Preprint › Working paper › Forskning
Detection of weed locations in leaf occluded cereal crops using a fully convolutional neural network. / Dyrmann, Mads; Nyholm Jørgensen, Rasmus; Midtiby, Henrik Skov.
I: Advances in Animal Biosciences, Bind 8, Nr. 2, 07.2017, s. 842-847.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Konferenceartikel › Forskning › peer review
RoboWeedSupport - Presentation of a cloud based system bridging the gap between in-field weed inspections and decision support systems. / Nielsen, Per Rydahl; Jensen, Niels-Peter; Dyrmann, Mads; Nielsen, Poul-Henning; Nyholm Jørgensen, Rasmus.
I: Advances in Animal Biosciences, Bind 8, Nr. 2, 07.2017, s. 860-864.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Konferenceartikel › Forskning › peer review
Automatic Detection and Classification of Weed Seedlings under Natural Light Conditions. / Dyrmann, Mads.
2017. 307 s.Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
Increasing the motivation of high school students to pursue engineering careers through an application-oriented active learning boot-camp. / Jensen, Kjeld; Dyrmann, Mads; Midtiby, Henrik Skov.
2017. Abstract fra Exploring Teaching for Active Learning in Engineering Education, Odense, Danmark.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Formidling
Automatisk ukrudtsgenkendelse er ikke længere science fiction. / Jørgensen, Rasmus Nyholm; Dyrmann, Mads.
2017. Abstract fra plantekongres 2017, Herning, Danmark.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Formidling
RoboWeedSupport - Sub Millimeter Weed Image Acquisition in Cereal Crops with Speeds up till 50 Km/h. / Laursen, Morten Stigaard; Nyholm Jørgensen, Rasmus; Dyrmann, Mads; Poulsen, Robert.
I: International Journal of Agricultural and Biosystems Engineering, Bind 11, Nr. 4, 2017, s. 311-315.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Plant species classification using deep convolutional neural network. / Dyrmann, Mads; Karstoft, Henrik; Midtiby, Henrik Skov.
I: Biosystems Engineering, Bind 151, Nr. November, 11.2016, s. 72-80.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Evaluation of intra variability between annotators of weed species in color images. / Dyrmann, Mads; Midtiby, Henrik Skov; Nyholm Jørgensen, Rasmus.
2016. Paper præsenteret ved International Conference on Agricultural Engineering 2016, Aarhus, Danmark.Publikation: Konferencebidrag › Paper › Forskning › peer review
Pixel-wise classification of weeds and crops in images by using a Fully Convolutional neural network. / Dyrmann, Mads; Mortensen, Anders Krogh; Midtiby, Henrik Skov; Nyholm Jørgensen, Rasmus.
2016. Paper præsenteret ved International Conference on Agricultural Engineering 2016, Aarhus, Danmark.Publikation: Konferencebidrag › Paper › Forskning › peer review
RoboWeedSupport : Weed recognition for reduction of herbicide consumption. / Dyrmann, Mads; Nyholm Jørgensen, Rasmus.
Precision agriculture '15: Papers presented at the 10th European Conference on Precision Agriculture Volcani Center, Israel 12-16 July 2015. red. / John V. Stafford. 1. udg. Wageningen Academic Publishers, 2015. s. 571-578.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
Fuzzy C-means based plant segmentation with distance dependent threshold. / Dyrmann, Mads.
Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP). red. / S. A. Tsaftaris; H. Scharr; T. Pridmore. BMVA Press, 2015. s. 5.1-5.11.Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
Weed detection by UAV with camera guided landing sequence. / Dyrmann, Mads.
2014. Abstract fra NJF Seminar, Lund, Sverige.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning
Automated Classification of Seedlings Using Computer Vision : Pattern Recognition of Seedlings Combining Features of Plants and Leaves for Improved Discrimination. / Dyrmann, Mads; Christiansen, Peter.
Aarhus University, 2014. 214 s.Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning