Designing and Testing a UAV Mapping System for Agricultural Field Surveying. - Martin P. Christiansen; Morten Stigaard Laursen; Rasmus Nyholm Jørgensen; Søren Skovsen; René Gislum (Sensors, 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)

Ground vehicle mapping of fields using LiDAR to enable prediction of crop biomass. - Martin Peter Christiansen; Morten Stigaard Laursen; Rasmus Nyholm Jørgensen; Søren Skovsen; René Gislum (CoRR, 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)

The Oil Radish Growth Dataset for Semantic Segmentation and Yield Estimation. - Anders Krogh Mortensen; Søren Skovsen; Henrik Karstoft; René Gislum (CVPR Workshops, 2019)

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)

Decoupled Localization and Sensing with HMD-based AR for Interactive Scene Acquisition. - Søren Skovsen; Harald Haraldsson; Abe Davis; Henrik Karstoft; Serge J. Belongie (ISMAR Adjunct, 2020)

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)