Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

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 …

Feeding the growing global population requires an annual increase in food production. This
requirement suggests an increase in the use of pesticides, which represents an …

In order to optimize the application of herbicides in weed-crop systems, accurate and timely
weed maps of the crop-field are required. In this context, this investigation quantified the …

Accurate extraction of navigation path is very important for automated navigation of
agricultural robots. Based on the machine vision system, this paper proposes a new …

Crop row detection is critical for precision agriculture and automatic navigation. In this paper,
a novel automatic and robust crop row detection method is proposed for maize fields based …

Field crops are generally planted in rows to improve planting efficiency and facilitate field
management. Therefore, automatic detection of crop planting rows is of great significance for …

Visual navigation is developing rapidly and is of great significance to improve agricultural
automation. The most important issue involved in visual navigation is extracting a guidance …

In this article is introduced an improved version of Fast Fuzzy C-Means (FFCM) by using the
Crow Search optimization Algorithm (CSA) for the task of data clustering. In the proposed …

The guidance line extracted from an image of a rice row precisely guides a robot for weed
control in paddy fields. The guidance line enables the robot to follow the crop row without …