Many tasks in smart agriculture have further requirements for the autonomous navigation of
agricultural robots. Due to irreplaceable visual information and low-cost hardware costs …

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 …

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 …

Tea is rich in polyphenols, vitamins, and protein, which is good for health and tastes great.
As a result, tea is very popular and has become the second most popular beverage in the …

Potato machinery has become more intelligent thanks to advancements in autonomous
navigation technology. The effect of crop row segmentation directly affects the subsequent …

This paper presents a novel metric to evaluate the robustness of deep learning based
semantic segmentation approaches for crop row detection under different field conditions …

Currently, the unmanned rice harvester based on satellite navigation is affected by tracked
chassis steering errors and navigation accuracy, which can result in harvesting omissions …

Highlights•In-situ LiDAR grain surface height mapping system developed.•Developed a dust
filtering algorithm to reduce LiDAR sensor noise.•Grain level stereo camera-based …

Accurate crop row detection is often challenged by the varying field conditions present in
real-world arable fields. Traditional colour based segmentation is unable to cater for all such …

A cut-edge detection method for wheat based on stereo vision was proposed in this work to
obtain the navigation path of a combine harvester. First, the point cloud was acquired by the …