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

Fruit detection and localization are essential for future agronomic management of fruit crops
such as yield prediction, yield mapping and automated harvesting. However, to perform …

Intelligent robots for fruit harvesting have been actively developed over the past decades to
bridge the increasing gap between feeding a rapidly growing population and limited labour …

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

Modern agriculture is related to a revolution that occurred in a large group of technologies
(eg, informatics, sensors, navigation) within the last decades. In crop production systems …

This paper presents an autonomous robot capable of picking strawberries continuously in
polytunnels. Robotic harvesting in cluttered and unstructured environment remains a …

Agricultural multirobot systems (MRSs) are expected to be essential in future agriculture.
Therefore, MRSs comprising an aerial robot, a ground robot, and a manipulator are being …

The fruit and vegetable picking has posed a great challenge on the production and markets
during the harvest season. Manual picking cannot fully meet the rapid requirements of each …

Continuing progress in machine learning (ML) has led to significant advancements in
agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit …

Camellia oleifera fruits are randomly distributed in an orchard, and the fruits are easily
blocked or covered by leaves. In addition, the colors of leaves and fruits are alike, and …