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 …

During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …

In this review, we present a comprehensive and critical survey on image-based plant
segmentation techniques. In this context,“segmentation” refers to the process of classifying …

Mapping vegetation in crop fields is an important step in remote sensing applications for
precision agriculture. Traditional aerial platforms such as planes and satellites are not …

Developing an automatic weeding system requires robust detection of the exact location of
the crop to be protected from damage. Computer vision techniques can be an effective …

The current crop rows detection based on machine vision generally has the problems of low
detection accuracy and poor real-time performance. Moreover, crop rows detection remains …

Highlights•The potential of wavelet texture features in crop-weed discrimination was
examined.•From wavelet multi-resolution images, 52 texture features were extracted.•Image …

Weed control is a global issue, and has attracted great attention in recent years. Deploying
autonomous robots for weed removal has great potential in terms of constructing …

Crop row detection is one of the foundational and pivotal technologies of agricultural robots
and autonomous vehicles for navigation, guidance, path planning, and automated farming in …

This paper presents a system for weed mapping, using imagery provided by unmanned
aerial vehicles (UAVs). Weed control in precision agriculture is based on the design of site …