Sustainable weed management strategies are critical to feeding the world's population while
preserving ecosystems and biodiversity. Therefore, site-specific weed control strategies …

Weeds are considered obnoxious and a hindrance to crop yield. Due to their uneven spatial
distribution pattern, a ground or aerial robot are deployed to spot spray herbicides. This …

Precision Agriculture and especially the application of automated weed intervention
represents an increasingly essential research area, as sustainability and efficiency …

Automatic weed mapping based on perception systems permits understanding weeds
behaviors over-seasons. Acquiring accurate maps of weeds position encourages the …

Graphical user interfaces (GUIs) interacting with hardware, data, and models, are beneficial
for accelerating the deployment and adoption of machine vision technology in precision …

Weeds are undesired plants in agricultural fields that affect crop yield and quality by
competing for nutrients, water, sunlight and space. For centuries, farmers have used several …

Uncontrolled growth of weeds can severely affect the crop yield and quality. Unrestricted use
of herbicide for weed removal alters biodiversity and cause environmental pollution. Instead …

Weeds are a major threat to crop production. Automated innovations for reducing herbicides
and labor needed for weeding have become a high priority for sustainable weed …

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 …

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 …