Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

In view of the continuous increase in labor costs for complex picking tasks, there is an urgent
demand for intelligent harvesting robots in the global fresh fruit cultivation industry. Fruit …

Accurate detection of both immature and mature apples in orchard environments is essential
for early crop load management. A near real-time method is proposed in this study for …

The development of an intelligent jujube fruit harvesting device is a critical step in achieving
the whole mechanization process. Catch‐and‐shake harvesting, as an efficient and stable …

Asynchrony of kiwifruit flowering time results in different flower phenological stages in
canopy at the same time. Pollination quality of flowers is influenced by their phenological …

Pruning is a time-consuming and labor-intensive practice for managing of dormant jujube
orchards, in which dormant pruning is still mainly dependent on manual operation …

Automation of grapevine agricultural tasks, eg, harvesting, requires reliable methods for
detecting the exact cutting points of the grape bunches. Dynamically changing vineyard …

To alleviate the burden of fruit harvesting imposed by rising costs and decreasing labor
supply, intelligent robots are highly desired in modern farms. A major problem, however, is …

Branch identification is key to the robotic pruning system for apple trees. High identification
accuracy and the positioning of junction points between branch and trunk are important …

In this paper, we propose a tree trunk and obstacle detection method in a semistructured
apple orchard environment based on improved YOLOv5s, with an aim to improve the real …