We present an exciting journey from 3D point‐cloud data (PCD) to the state of the art in
graph neural networks (GNNs) and their evolution with explainable artificial intelligence …

Progressive application of multidisciplinary research and development pushes the evolution
of automation in many subsectors of agriculture to increase productivity, economic growth …

Tomatoes are widely grown all over the world and are one of the favourite vegetables of
humanity. Tomato harvesting requires a lot of labor. With the aging population and the …

Automated fruit harvesting is promising research in the development of agricultural
modernization. However, the complex and non-structural orchard environment is extremely …

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 …

Efficient and accurate monitoring crop growth is an important prerequisite for modern
greenhouse crop growth control and management. However, it is still challenging to achieve …

In this paper, a mask region-based convolutional neural network (Mask R-CNN) is used to
improve the performance of machine vision in the challenging task of detecting peduncles …

The environment of tomato bunches is complex, and the fruit volume is relatively large, so
manipulator picking-harvest motion planning should consider not only how to pick, but also …

Identifying picking points is crucial for the intelligent picking of grapes and is essential for
efficient and lossless harvesting. This research proposes a lightweight semantic …

Robotic selective harvesting is an ideal method for bionic manual harvest of green
asparagus. However, the harvesting robot encounters difficulties in evaluating the suitable …