One of the main initiatives to increase the profit, production, and quality of greenhouse
horticulture, as well as its sustainability, is the use of robots. This paper focusses on the state …

Smart agricultural harvesting robots' vision recognition, control decision, and mechanical
hand modules all resemble the human eye, brain, and hand, respectively. To enable …

In a densely planted orchard, factors such as light variation, branch occlusion, and fruit in
non-picking rows had a great impact on the pitaya detection accuracy. In this study, a new …

Semantic segmentation is a kind of classification at the pixel level, which has a remarkable
effect in dealing with complex scenes. Most popular semantic segmentation models are …

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

The detection of apple yield in complex orchards plays an important role in smart agriculture.
Due to the large number of fruit trees in the orchard, improving the speed of apple detection …

Rapid and accurate detection of green peppers are essential for their growth monitoring,
yield estimation, phenotypic monitoring, and robotic harvesting. In order to simplify the …

To solve the problems of poor adaptability and large sizes of pepper harvesting machinery
in facility agriculture to enhance the efficiency and quality of pepper harvesting and …

In unstructured environments, dense grape fruit growth and the presence of occlusion cause
difficult recognition problems, which will seriously affect the performance of grape picking …

The idea of applying machine technology for fruit and vegetable harvesting has been
around for 50 years. Various prototypes have been developed through the joint efforts of …