Weed identification in vegetable plantation is more challenging than crop weed identification
due to their random plant spacing. So far, little work has been found on identifying weeds in …

Weeds are among the major factors adversely affecting crop yield. Therefore, weed control
with minimal environmental damage is a global concern. Traditional weed control methods …

Weed suppression is an important factor affecting crop yields. Precise identification of weed
species will contribute to automatic weeding by applying proper herbicides, hoeing position …

Weeds are one of the most harmful agricultural pests that have a significant impact on crops.
Weeds are responsible for higher production costs due to crop waste and have a significant …

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 a significant threat to agricultural productivity and the environment. The
increasing demand for sustainable weed control practices has driven innovative …

Weeds are one of the most important factors affecting agricultural production. The waste and
pollution of farmland ecological environment caused by full-coverage chemical herbicide …

Weed management is one of the most important aspects of crop productivity; knowing the
amount and the locations of weeds has been a problem that experts have faced for several …

BACKGROUND Precision weed control in vegetable fields can substantially reduce the
required weed control inputs. Rapid and accurate weed detection in vegetable fields is a …

Weed detection and classification are considered one of the most vital tools in identifying
and recognizing plants in agricultural fields. Recently, machine learning techniques have …