Mads Dyrmann

发表

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).

Overfitting a convolutional neural network to support annotations of weeds

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

Open Plant Phenotype Database of Common Weeds in Denmark

Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Mads Dyrmann, 2020, Remote. Sens..

A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images

Rasmus Nyholm Jørgensen, Mads Dyrmann, Nima Teimouri, 2019, Remote. Sens..

Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks

René Gislum, Henrik Karstoft, Mads Dyrmann, 2021, Sensors.

Plant species classification using deep convolutional neural network

Henrik Skov Midtiby, Henrik Karstoft, Mads Dyrmann, 2016 .

A Public Image Database for Benchmark of Plant Seedling Classification Algorithms pdf

Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, Mads Dyrmann, 2017, ArXiv.

Automatic Detection and Classification of Weed Seedlings under Natural Light Conditions

Mads Dyrmann, M. Dyrmann, 2017 .

Weed Growth Stage Estimator Using Deep Convolutional Neural Networks

Rasmus Nyholm Jørgensen, Mads Dyrmann, Nima Teimouri, 2018, Sensors.

Weed detection by UAV with camera guided landing sequence

Mads Dyrmann, 2014 .

RoboWeedSupport - Detection of weed locations in leaf occluded cereal crops using a fully convolutional neural network

Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, Mads Dyrmann, 2017 .

Pixel-wise classification of weeds and crops in images by using a Fully Convolutional neural network

Anders Krogh Mortensen, Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, 2016 .

Generating artificial images of plant seedlings using generative adversarial networks

Rasmus Nyholm Jørgensen, Henrik Karstoft, Mads Dyrmann, 2019, Biosystems Engineering.

Automated Classification of Seedlings Using Computer Vision

Peter Christiansen, Mads Dyrmann, 2014 .

Automated Classification of Seedlings Using Computer Vision: Pattern Recognition of Seedlings Combining Features of Plants and Leaves for Improved Discrimination

Mads Dyrmann, Peter Munk Christiansen, 2014 .

Estimation of plant species by classifying plants and leaves in combination

Peter Christiansen, Henrik Skov Midtiby, Mads Dyrmann, 2018, J. Field Robotics.

Evaluation of intra variability between annotators of weed species in color images

Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, Mads Dyrmann, 2016 .

Increasing the motivation of high school students to pursue engineering careers through an application-oriented active learning boot-camp

Kjeld Jensen, Henrik Skov Midtiby, Mads Dyrmann, 2017 .

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.

RoboWeedSupport: Semi-Automated Unmanned Aerial System for Cost Efficient High Resolution in Sub-Millimeter Scale Acquisition of Weed Images

Morten Stigaard Laursen, Mads Dyrmann, Simon L. Madsen, 2017 .

Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks

Kim Arild Steen, Ole Green, Anders Krogh Mortensen, 2017, Sensors.

Semantic Segmentation of Mixed Crops using Deep Convolutional Neural Network

Anders Krogh Mortensen, Rasmus Nyholm Jørgensen, René Gislum, 2016 .

RoboWeedSupport - Presentation of a cloud based system bridging the gap between in-field weed inspections and decision support systems

Rasmus Nyholm Jørgensen, Mads Dyrmann, P. Rydahl, 2017 .

Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning

Anders Krogh Mortensen, Kim Bjerge, Mads Dyrmann, 2021, Sensors.

Fuzzy C-means based plant segmentation with distance dependent threshold

Mads Dyrmann, M. Dyrmann, 2015, BMVC 2015.