Weeds pose a serious threat to the safe wheat production. They are an important factor
contributing to the reduction in wheat yield and quality. The current weed control methods in …

Despite the great possibilities of modern neural network architectures concerning the
problems of object detection and recognition, the output of such models is the local (pixel) …

For the automated robotic picking of bunch-type fruit, the strategy is to roughly determine the
location of the bunches, plan the picking route from a remote location, and then locate the …

Real-time systems are widely used in industry, including technological process control
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …

Modern deep learning systems make it possible to develop increasingly intelligent solutions
in various fields of science and technology. The electronics of single board computers …

RGB-D cameras have become common in many research fields since these inexpensive
devices provide dense 3D information from the observed scene. Over the past few years, the …

The use of high-throughput phenotyping with imaging and machine learning to monitor
seedling growth is a tough yet intriguing subject in plant research. This has been recently …

Industrial robots and cobots are widely deployed in most industrial sectors. However, robotic
programming still needs a lot of time and effort in small batch sizes, and it demands specific …

Presbyopia is an age-related loss of accommodation ability of the eye which affects
individuals in their late 40s or early 50s. Presbyopia reduces the ability of a person to focus …

Due to their low cost and portability, using entertainment devices for indoor mapping
applications has become a hot research topic. However, the impact of user behavior on …