S. Skovsen

Autonomous Mapping of Grass-Clover Ratio Based on Unmanned Aerial Vehicles and Convolutional Neural Networks

R. Jørgensen, J. Eriksen, K. Steen, 2018 .

Overfitting a convolutional neural network to support annotations of weeds

Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Søren Skovsen, 2019, Precision agriculture ’19.

New Directions in Weed Management and Research Using 3D Imaging

M. Bagavathiannan, S. Mirsky, R. León, 2022, Weed Science.

The Oil Radish Growth Dataset for Semantic Segmentation and Yield Estimation

Anders Krogh Mortensen, Henrik Karstoft, Søren Skovsen, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture

Anders Krogh Mortensen, Morten Stigaard Laursen, René Gislum, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Weed Classification Using Explainable Multi-Resolution Slot Attention

R. Jørgensen, H. Karstoft, S. Skovsen, 2021, Sensors.

A Novel Locating System for Cereal Plant Stem Emerging Points’ Detection Using a Convolutional Neural Network

Rasmus Nyholm Jørgensen, Hadi Karimi, Søren Skovsen, 2018, Sensors.

Designing and Testing a UAV Mapping System for Agricultural Field Surveying

Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, René Gislum, 2017, Sensors.

Head-mounted Augmented Reality for Guided Surface Reflectance Capture

Ser-Nam Lim, S. Marschner, S. Skovsen, 2020 .

Using structure-from-motion to estimate cover crop biomass and characterize canopy structure

M. Bagavathiannan, S. Mirsky, C. Reberg-Horton, 2023, Field Crops Research.

Using a fully convolutional neural network for detecting locations of weeds in images from cereal fields

M. S. Laursen, R. Jørgensen, S. Skovsen, 2018 .