In recent years, with the rapid development of science and technology, agricultural robots
have gradually begun to replace humans, to complete various agricultural operations …

The utilization of machine vision and its associated algorithms improves the efficiency,
functionality, intelligence, and remote interactivity of harvesting robots in complex …

In the complex environment of an orchard, changes in illumination, leaf occlusion, and fruit
overlap make it challenging for mobile picking robots to detect and locate oil-seed camellia …

Abstract Purpose of Review The world-wide demand for agricultural products is rapidly
growing. However, despite the growing population, labor shortage becomes a limiting factor …

To improve the navigation safety of inland river ships and enrich the methods of
environmental perception, this paper studies the recognition and depth estimation of inland …

Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …

Fruit harvesting robot operations in unstructured agricultural environments have been facing
both accuracy and speed challenges, and vision-based control plays an important role in …

Litchi clusters in fruit groves are randomly scattered and occur irregularly, so it is difficult to
detect and locate the fruit-bearing branches of multiple litchi clusters at one time. This is a …

It has been more than 30 years since the French pioneered the research of the apple
harvesting robot, and with the joint efforts of scholars all around the world, a variety of …

Machine vision technology has dramatically improved the efficiency, speed, and quality of
fruit-picking robots in complex environments. Target recognition technology for fruit is an …