About the department
Mads Dyrmann
PhD, Assistant Professor
Department of Electrical and Computer Engineering - Signal Processing and Machine learning
Finlandsgade 22
building 5125, 320
8200 Aarhus N
Denmark
Mobile: +4531170017
Profile
Researcher in machinel-learning and computer vision for environmental and biodiversity promotion purposes. This includes mapping weed populations to reduce agricultural spraying, as well as detecting and counting insects in cities, agricultural fields, and nature parks. Furthermore teaching robotics and digital image processing.
- Published
Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
- Published
Open Plant Phenotype Database of Common Weeds in Denmark
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
- Published
RoboWeedMaps - Automated weed detection and mapping - Invited talk at SSWM 2019, SDU, Odense Denmark
Research output: Non-textual form › Pictures, Video and sound recordings (digital) › Communication
Project Management
Activity: Participating in or organising an event types › Participation in or organisation of workshop, seminar or course
Course in PhD supervision
Activity: Participating in or organising an event types › Participation in or organisation of workshop, seminar or course
Teacher Training Programme for Assistant Professors
Activity: Participating in or organising an event types › Participation in or organisation of workshop, seminar or course
Vejdirektoratet vil bruge kunstig intelligens i jagten på invasive arter
Press/Media: Press / Media
Fremtidens landbrug bliver med droner og robotter
Press/Media: Press / Media
Landmænd fra hele landet fik vist ny teknologi
Press/Media: Press / Media
ID: 52786588