Broad-leaf weed detection in pasture

W Zhang, MF Hansen, TN Volonakis… - 2018 IEEE 3rd …, 2018 - ieeexplore.ieee.org
Weed control in pasture is a challenging problem that can be expensive and
environmentally unfriendly. This paper proposes a novel method for recognition of broad …

Sugar beet and volunteer potato classification using Bag-of-Visual-Words model, Scale-Invariant Feature Transform, or Speeded Up Robust Feature descriptors and …

HK Suh, JW Hofstee, J IJsselmuiden… - Biosystems …, 2018 - Elsevier
Highlights•Crop/weed classification algorithm is proposed using a BoVW based on SIFT or
SURF.•The highest classification accuracy obtained was 96.5% with zero false …

Image-based recognition framework for robotic weed control systems

T Kounalakis, GA Triantafyllidis… - Multimedia Tools and …, 2018 - Springer
In this paper, we introduce a novel and efficient image-based weed recognition system for
the weed control problem of Broad-leaved Dock (Rumex obtusifolius L.). Our proposed …

A robotic system employing deep learning for visual recognition and detection of weeds in grasslands

T Kounalakis, MJ Malinowski, L Chelini… - … on Imaging Systems …, 2018 - ieeexplore.ieee.org
In this paper, we describe the vision system of a robot prototype that operates in dairy farm
grasslands and detects the presence of the harmful Broad-leaved dock (Rumex obtusifolius …

Weld classification using gray level co-occurrence matrix and local binary patterns

P Valentin, T Kounalakis… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This paper presents an algorithm that can classify weld seams from images, exploiting
machine learning techniques. Manual visual inspection is the primary way of evaluating …

[引用][C] Transferring deep reinforcement learning from agame engine simulation for robots

CB Lillelund - 2018 - … CPH, Clille13@ student. aau. dk, 5 …