Aarhus University Seal / Aarhus Universitets segl

Mads Dyrmann

  1. 2021
  2. Udgivet

    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/proceedingBidrag til bog/antologiForskning

  3. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  4. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  5. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  6. Udgivet

    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/proceedingKonferencebidrag i proceedingsForskningpeer review

  7. 2020
  8. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  9. 2019
  10. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  11. Udgivet
    RoboWeedMaps - Automated weed detection and mapping - Invited talk at SSWM 2019, SDU, Odense Denmark. Nyholm Jørgensen, Rasmus (Producent); Laursen, Morten Stigaard (Producent); Teimouri, Nima (Producent); Madsen, Simon Leminen (Producent); Dyrmann, Mads (Producent); Somerville, Gaylene Jill (Producent); Mathiassen, Solvejg K (Producent). 2019. YouTubeBegivenhed: null, Faculty of Engineering, University of Southern Denmark (SDU), Odense, Danmark.

    Publikation: Bidrag der ikke har en tekstformBilleder, Video- og Lydoptagelser (digital)Formidling

  12. Udgivet

    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/proceedingKonferencebidrag i proceedingsForskningpeer review

  13. Udgivet

    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/proceedingKonferencebidrag i proceedingsForskningpeer review

  14. Udgivet
    The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. Skovsen, Søren (Producent); Dyrmann, Mads (Producent); Mortensen, Anders Krogh (Producent); Laursen, Morten Stigaard (Producent); Gislum, René (Producent); Eriksen, Jørgen (Producent); Farkhani, Sadaf (Producent); Karstoft, Henrik (Producent); Nyholm Jørgensen, Rasmus (Producent). 2019. Begivenhed: null, Long Beach Convention & Entertainment Center, Long Beach, California, USA.

    Publikation: Bidrag der ikke har en tekstformDatasætForskningpeer review

  15. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  16. Udgivet

    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/proceedingKonferencebidrag i proceedingsForskning

  17. Udgivet

    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: KonferencebidragPosterForskning

  18. 2018
  19. Udgivet

    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/proceedingKonferenceabstrakt i proceedingsForskningpeer review

  20. Udgivet

    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/proceedingKonferencebidrag i proceedingsForskningpeer review

  21. Udgivet

    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/proceedingKonferenceabstrakt i proceedingsForskningpeer review

  22. Udgivet

    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/proceedingKonferenceabstrakt i proceedingsForskningpeer review

  23. Udgivet

    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/proceedingKonferencebidrag i proceedingsForskning

  24. Udgivet

    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: KonferencebidragKonferenceabstrakt til konferenceForskningpeer review

  25. Udgivet

    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: KonferencebidragKonferenceabstrakt til konferenceForskningpeer review

  26. Udgivet

    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/proceedingKonferencebidrag i proceedingsForskning

  27. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  28. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  29. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  30. Udgivet

    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/proceedingKonferencebidrag i proceedingsForskning

  31. 2017
  32. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  33. Udgivet
    Automatisk genkendelse af ukrudt. Nyholm Jørgensen, Rasmus (Producent); Dyrmann, Mads (Producent). 2017. YouTube.

    Publikation: Bidrag der ikke har en tekstformBilleder, Video- og Lydoptagelser (digital)Formidling

  34. Udgivet

    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 paperForskning

  35. Udgivet

    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 avisKonferenceartikelForskningpeer review

  36. Udgivet

    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 avisKonferenceartikelForskningpeer review

  37. Udgivet

    Automatic Detection and Classification of Weed Seedlings under Natural Light Conditions. / Dyrmann, Mads.

    2017. 307 s.

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

  38. Udgivet

    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: KonferencebidragKonferenceabstrakt til konferenceFormidling

  39. Udgivet

    Automatisk ukrudtsgenkendelse er ikke længere science fiction. / Jørgensen, Rasmus Nyholm; Dyrmann, Mads.

    2017. Abstract fra plantekongres 2017, Herning, Danmark.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceFormidling

  40. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  41. 2016
  42. Udgivet

    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 avisTidsskriftartikelForskningpeer review

  43. Udgivet

    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: KonferencebidragPaperForskningpeer review

  44. Udgivet

    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: KonferencebidragPaperForskningpeer review

  45. 2015
  46. Udgivet

    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/proceedingKonferencebidrag i proceedingsForskningpeer review

  47. Udgivet

    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/proceedingKonferencebidrag i proceedingsForskningpeer review

  48. 2014
  49. Udgivet

    Weed detection by UAV with camera guided landing sequence. / Dyrmann, Mads.

    2014. Abstract fra NJF Seminar, Lund, Sverige.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskning

  50. Udgivet

    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/rapportRapportForskning