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 provides a review of path-tracking strategies used in autonomous agricultural
vehicles, mainly from two aspects: vehicle model construction and the development and …

The successful implementation of vision-based navigation in agricultural fields hinges upon
two critical components: 1) the accurate identification of key components within the scene …

This paper presents a human-centered approach for an efficient cucumber-harvesting robot
system. Specifically, harvest ordering, visual servoing, and end-effector-based manipulation …

Aiming at the shortcomings of the existing navigation line extraction algorithm for corn
spraying robot in complex farmland environment, such as poor extraction effect and poor …

Weed control in paddy fields is a critical agronomic practice for enhancing rice yield, in
which mechanical weed control is widely used due to its high weed control rate and …

Field crops are usually planted in rows, and accurate identification and extraction of crop
row centerline is the key to realize autonomous navigation and safe operation of agricultural …

To address the issue of low positioning accuracy of mobile robots in trellis kiwifruit orchards
with weak signal environments, this study investigated an outdoor integrated positioning …

The path planning and obstacles avoidance in dynamic environments are vitally important
problems for auto-navigation of mobile robots. Generally, the dynamic windows approach is …

In precision agriculture, robotic arms exhibit significant technical advantages, such as
enhancing operational precision and efficiency, reducing labor costs, and supporting …