The rapid advances in Deep Learning (DL) techniques have enabled rapid detection,
localisation, and recognition of objects from images or videos. DL techniques are now being …

Weeds are among the major factors that could harm crop yield. With the advances in
electronic and information technologies, machine vision combined with image processing …

Autonomous robotic weed control systems hold promise toward the automation of one of
agriculture's few remaining unmechanized and drudging tasks, hand weed control. Robotic …

López‐Granados F (2011). Weed detection for site‐specific weed management: mapping
and real‐time approaches. Weed Research 51, 1–11. Summary This work describes the …

Weeds are a significant problem in crop production and their management in modern
agriculture is crucial to avoid yield losses and ensure food security. Intensive agricultural …

The excessive consumption of herbicides has gradually led to the herbicide resistance weed
phenomenon. Managing herbicide resistance weeds can only be explicated by applying …

Site‐specific weed control technologies are defined as machinery or equipment embedded
with technologies that detect weeds growing in a crop and, taking into account predefined …

Weed science, as an integral part of agricultural production needs to evolve by moving away
from its mono-disciplinary perspective at targeting weeds, sometimes a single species …

The past 50 yr of advances in weed recognition technologies have poised site-specific weed
control (SSWC) on the cusp of requisite performance for large-scale production systems …

Site‐specific weed management is the part of precision agriculture (PA) that tries to
effectively control weed infestations with the least economical and environmental burdens …