In this paper, we introduce a novel framework which applies known image features
combined with advanced linear image representations for weed recognition. Our proposed …

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 …

The goal of this paper is to develop a new weed detection and classification method that can
be applied for autonomous weed control robots. In order to achieve this goal plants must be …

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 …

Concerns regarding the environmental and economic impacts of excessive herbicide
applications in agriculture have promoted interests in seeking alternative weed control …

Automated weed detection and classification allow a high spatial density of measurements
and can therefore be used for site-specific application of herbicides at variable rate. A …

A weed can be thought of as any plant growing in the wrong place at the wrong time and
doing more harm than good. Weeds compete with the crop for water, light, nutrients and …

In conventional cropping systems, removal of weed population extensively relies on the
application of chemical herbicides. However, this practice should be minimized because of …

In this paper we propose a benchmark dataset for crop/weed discrimination, single plant
phenotyping and other open computer vision tasks in precision agriculture. The dataset …

Robots for precision farming have the potential to reduce the reliance on herbicides and
pesticides through selectively spraying individual plants or through manual weed removal …