Reconfigurable

The bench offers a realistic representation of a physical environment. This includes high-quality graphics with adjustable precision details for textures, lighting, and shadows, as well as advanced physical models to simulate realistic interactions between objects (collision, thermography). The various environments cover a wide range of scenarios to test AI systems in varied and unpredictable situations. The platform also enables new scenarios to be created to meet specific customer requirements.

The stand is used for verification of the correct operation of algorithms controlling the spectrum of sprayed working liquid in agricultural and orchard sprayers as a function of pressure and temperature. It is used for measuring the size of particles sprayed in the air​. - recording rapid process changes in real time​.

A test stand with dimensions of 30000x8000 mm, with a centrally mounted, hydraulically lifted platform. The stand is used both in accredited tests based on standardised methods or in-house procedures and in non-accredited activities, including research and development work related to the design and testing of autonomous machinery. The stand is used, among other things, for measuring technical parameters, weights, pressure forces, and stability of machinery and equipment.

As part of PHÉNOME, the French plant phenotyping network, PhénoField® integrates expertise across agronomy, plant physiology, robotics, and bioinformatics. With over 350 plant varieties studied annually, the platform can simulate 17 distinct climates and is equipped with cutting-edge technology: 2 lidars for 3D laser analysis, 6 continuous cameras, 4 spectroradiometers for leaf light reflection measurements, and 36 soil moisture probes across 100 data points.

Bridge sprinkler with a working width of 250 m equipped with a VRI system, e.g., a system of variable irrigation doses. Independent control of each of the 63 sprinklers. The sprinkler can irrigate an area of ​​up to 20 hectares at once. The water dose is controlled manually, but it is possible to retrofit it with an automatic system based on, e.g., satellite data or a weather station system.

There are experimental buildings with an area of 5,430 square meters that can accommodate about two hundred cows. There is a milking parlour with a six-point tandem type. The cows stand one behind the other, are milked, and move forward. The operator's access to the udder is lateral. Milking is much slower, as it allows fewer animals per shift, but the inspection of each cow is more thorough.

The test fields at the RISE Testbed for Digitalised Agriculture consist of five fields, each approximately 1 hectare in size, with a total area of 8 hectares. The fields and their collected data can be used to test products and services under real-world conditions with AI and autonomous vehicles for agriculture. Various crops are cultivated on these fields, and one field is designated as a bare ground area for testing autonomous agricultural machinery.

The AstaZero FLXZone is a flat asphalt surface of approximately 170 m x 130 m. The area has a control tower for test monitoring in a safe location. FLXZone is highly customisable, allowing for different test scenarios using e.g road lines or any kind of objects in the area. A private 5G-network (NorthStar) is accessible in the area, allowing for extremely fast data transfers and 5G network slicing. The facility is modelled in a digital twin for use in simulation and correlation tests.

For ML/AI developments in the field of agriculture, it is very important that they can be tested accordingly in practice. And it is precisely for such practical tests that JR is ideally positioned. Located in the central of Austria we have many possibilities to work with farmers in almost all of Austria. Depending on the requirements, different crops can be selected and we search for farmers who have them. Also, we have access to numerous fields for grasslands in Austria. In cooperation with not only local farmers, even more areas and more diverse crops can be tested.

For ML/AI developments in the field of agriculture, it is very important that they can be tested accordingly in practice. And it is precisely for such practical tests that JR is ideally positioned. Directly behind our office building there is a field with 4.8ha, which can be fully used for tests. Depending on the requirements, different crops can be grown on this field. However, this is by far not our only field. We have access to numerous fields and grasslands in Wieselburg and around Wieselburg. In cooperation with local farmers, even more areas and more diverse crops can be tested.