Henrik Skov Midtiby
Maersk (Denmark)(DK)
Publications by Year
Research Areas
Smart Agriculture and AI, Remote Sensing in Agriculture, Leaf Properties and Growth Measurement, Spectroscopy and Chemometric Analyses, Remote Sensing and LiDAR Applications
Most-Cited Works
- → Plant species classification using deep convolutional neural network(2016)618 cited
- → RoboWeedSupport - Detection of weed locations in leaf occluded cereal crops using a fully convolutional neural network(2017)150 cited
- → A Public Image Database for Benchmark of Plant Seedling Classification Algorithms(2017)117 cited
- → Texture of Lipid Bilayer Domains(2009)74 cited
- → Membrane Orientation and Lateral Diffusion of BODIPY-Cholesterol as a Function of Probe Structure(2013)65 cited
- → Weed identification using an automated active shape matching (AASM) technique(2011)45 cited
- → Model-Based Fault Diagnosis Algorithms for Robotic Systems(2023)44 cited
- Pixel-wise classification of weeds and crops in images by using a Fully Convolutional neural network(2016)
- → Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops(2016)33 cited
- → Group hunting in harbour porpoises (Phocoena phocoena)(2021)30 cited