A Public Image Database for Benchmark of Plant Seedling Classification Algorithms. - Thomas Mosgaard Giselsson; Rasmus Nyholm Jørgensen; Peter Kryger Jensen; Mads Dyrmann; Henrik Skov Midtiby (CoRR, 2017)

Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. - Søren Skovsen; Mads Dyrmann; Anders Krogh Mortensen; Kim Arild Steen; Ole Green; Jørgen Eriksen; René Gislum; Rasmus Nyholm Jørgensen; Henrik Karstoft (Sensors, 2017)

Estimation of plant species by classifying plants and leaves in combination. - Mads Dyrmann; Peter Christiansen; Henrik Skov Midtiby (J. Field Robotics, 2018)

A Novel Locating System for Cereal Plant Stem Emerging Points' Detection Using a Convolutional Neural Network. - Hadi Karimi; Søren Skovsen; Mads Dyrmann; Rasmus Nyholm Jørgensen (Sensors, 2018)

Weed Growth Stage Estimator Using Deep Convolutional Neural Networks. - Nima Teimouri; Mads Dyrmann; Per Rydahl Nielsen; Solvejg Kopp Mathiassen; Gayle J. Somerville; Rasmus Nyholm Jørgensen (Sensors, 2018)

The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. - Søren Skovsen; Mads Dyrmann; Anders Krogh Mortensen; Morten Stigaard Laursen; René Gislum; Jørgen Eriksen; Sadaf Farkhani; Henrik Karstoft; Rasmus N. Jørgensen (CVPR Workshops, 2019)

A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images. - Nima Teimouri; Mads Dyrmann; Rasmus Nyholm Jørgensen (Remote. Sens., 2019)

Open Plant Phenotype Database of Common Weeds in Denmark. - Simon Leminen Madsen; Solvejg Kopp Mathiassen; Mads Dyrmann; Morten Stigaard Laursen; Laura-Carlota Paz; Rasmus Nyholm Jørgensen (Remote. Sens., 2020)

Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning. - Mads Dyrmann; Anders Krogh Mortensen; Lars Linneberg; Toke Thomas Høye; Kim Bjerge (Sensors, 2021)

Weed Classification Using Explainable Multi-Resolution Slot Attention. - Sadaf Farkhani; Søren Kelstrup Skovsen; Mads Dyrmann; Rasmus Nyholm Jørgensen; Henrik Karstoft (Sensors, 2021)

Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. - Søren Kelstrup Skovsen; Morten Stigaard Laursen; Rebekka Kjeldgaard Kristensen; Jim Rasmussen; Mads Dyrmann; Jørgen Eriksen; René Gislum; Rasmus Nyholm Jørgensen; Henrik Karstoft (Sensors, 2021)

Hierarchical classification of insects with multitask learning and anomaly detection. - Kim Bjerge; Quentin Geissmann; Jamie Alison; Hjalte M. R. Mann; Toke Thomas Høye; Mads Dyrmann; Henrik Karstoft (Ecol. Informatics, 2023)

Adapting a global plant identification model to detect invasive alien plant species in high-resolution road side images. - Vincent Espitalier; Jean-Christophe Lombardo; Hervé Goëau; Christophe Botella; Toke Thomas Høye; Mads Dyrmann; Pierre Bonnet; Alexis Joly (Ecol. Informatics, 2025)