In this paper we address the problem of recognising the Broad-leaved dock (Rumex
obtusifolius L.) in grasslands from high-resolution 2D images. We discuss and present the …

Robotic weed control has seen increased research of late with its potential for boosting
productivity in agriculture. Majority of works focus on developing robotics for croplands …

Context Most weed species can adversely impact agricultural productivity by competing for
nutrients required by high-value crops. Manual weeding is not practical for large cropping …

Reducing the use of agrochemicals is an important component toward sustainable
agriculture. Robots that can perform targeted weed control offer the potential to contribute to …

Weed management technologies that can identify weeds and distinguish them from crops
are in need of artificial intelligence solutions based on a computer vision approach, to …

Robotic weed control through weed detection has become increasingly important due to
mounting pressure on herbicides from resistance and the large impact of weeds on …

Automated robotic weeding of grassland will improve the productivity of dairy and sheep
farms while helping to conserve their environments. Previous studies have reported results …

Crop and weed discrimination in natural field environments is still challenging for
implementing automatic agricultural practices, such as weed control. Some weed control …

Broad-leaved dock (Rumex obtusifolius) is a fast growing and spreading weed and is one of
the most common weeds in production grasslands in the Netherlands. The heavy …

Digital image processing has the potential to support the identification of plant species
required for site-specific weed control in grassland swards. The present study focuses on the …