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 …

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 …

Anthracnose, brown spot, mites, black rot, downy mildew, and leaf blight are six common
grape leaf pests and diseases, which cause severe economic losses to the grape industry …

Machine vision for precision agriculture has attracted considerable research interest in
recent years. The aim of this paper is to review the most recent work in the application of …

Weed detection is still a challenging problem for robotic weed removal. Small tolerance
between the cutting tine and main crop position requires highly precise discrimination of the …

Automatic identification of diseases through hyperspectral images is a very critical and
primary challenge for sustainable farming and gained the attention of researchers during the …

Accurate diagnosis of corn crop diseases is a complex challenge faced by farmers during
the growth and production stages of corn. In order to address this problem, this paper …

Vegetation cover fraction (fCover) and related quantities are basic yet critical vegetation
structure variables in various disciplines and applications. Ground-and aerial-based …

It has become a common understanding that robotization could be one of effective solutions
to address the increasing skilled labor shortage challenge in crop production, thus the …