Henrik Skov Midtiby

发表

Improving the segmentation for weed recognition applications based on standard RGB cameras using optical filters

Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, 2015 .

Statistics-based segmentation using a continuous-scale naive Bayes approach

Norbert Krüger, Morten Stigaard Laursen, Henrik Skov Midtiby, 2014 .

Evaluation of features for context based crop classification

Henrik Skov Midtiby, Rasmus Nyholm Jørgensen, R. Jørgensen, 2012 .

Weed identification using an automated active shape matching (AASM) technique

Ole Green, Henrik Skov Midtiby, Rasmus Nyholm Jørgensen, 2011 .

Automatic crop row detection from UAV images

Henrik Skov Midtiby, J. Juul Rasmussen, 2014 .

Coarse-Grained Computation-Oriented Energy Modeling for Heterogeneous Parallel Embedded Systems

Ulrik Pagh Schultz, Henrik Skov Midtiby, Adam Seewald, 2019, International Journal of Parallel Programming.

The todonotes package

Henrik Skov Midtiby, 2014 .

Field trial design using semi-automated conventional machinery and aerial drone imaging for outlier identification

Peter Christiansen, Morten Stigaard Laursen, Henrik Skov Midtiby, 2015 .

Plant species classification using deep convolutional neural network

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

Videos with interactive elements for teaching first year mathematics

Henrik Skov Midtiby, 2016 .

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

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

Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops

Kjeld Jensen, Anders Krogh Mortensen, Morten Stigaard Laursen, 2016, Sensors.

Upper limit for context–based crop classification in robotic weeding applications

Henrik Skov Midtiby, Rasmus Nyholm Jørgensen, Björn Åstrand, 2016 .

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 .

Energy-Aware Design of Vision-Based Autonomous Tracking and Landing of a UAV

Ulrik Pagh Schultz, Henrik Skov Midtiby, Georgios Zamanakos, 2020, 2020 Fourth IEEE International Conference on Robotic Computing (IRC).

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 .

STUDENTS' BENEFIT FROM VIDEO WITH INTERACTIVE QUIZZES IN A FIRST-YEAR CALCULUS COURSE

Henrik Skov Midtiby, Christopher Kjær, Cita Nørgaard, 2017 .

Interactive videos with embedded questions

Henrik Skov Midtiby, 2015 .

Mechanical and Computational Energy Estimation of a Fixed-Wing Drone

Ulrik Pagh Schultz, Héctor García de Marina, Henrik Skov Midtiby, 2020, 2020 Fourth IEEE International Conference on Robotic Computing (IRC).

Experiences from a calculus class on using videos with interactive elements

Henrik Skov Midtiby, 2017 .

Seedling Discrimination with Shape Features Derived from a Distance Transform

Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, Thomas Mosgaard Giselsson, 2013, Sensors.

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 .

Autonomous Precision Spraying Trials Using a Novel Cell Spray Implement Mounted on an Armadillo Tool Carrier

Kjeld Jensen, Morten Stigaard Laursen, Henrik Skov Midtiby, 2013 .

Performance evaluation of a crop/weed discriminating microsprayer

Henrik Skov Midtiby, Rasmus Nyholm Jørgensen, Kim Johan Andersson, 2011 .

Location of individual leaves in images of sugar beets in early growth stages

Henrik Skov Midtiby, Rasmus Nyholm Jørgensen, Thomas Mosgaard Giselsson, 2012 .

MODICOVI - monocot and dicot coverage ratio vision based method for real time estimation of canopy coverage ratio between cereal and dicotyledon weeds.

Norbert Krüger, Morten Stigaard Laursen, Henrik Skov Midtiby, 2012 .

Sensor-based assessment of herbicide effects

Kjeld Jensen, Jens C. Streibig, Morten Stigaard Laursen, 2014 .

Estimating the plant stem emerging points (PSEPs) of sugar beets at early growth stages

Henrik Skov Midtiby, Rasmus Nyholm Jørgensen, Thomas Mosgaard Giselsson, 2012 .