Livestock farming

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.

This infrastructure is supported by multi-layered connectivity, ranging from low-power networks to 5G, and an advanced data platform. At the core of its capabilities is a supercomputer with 192 cores and 12TB of memory, enabling massive data processing. The infrastructure also features a parallel computing cluster with 960 cores and an NVIDIA DGX2 server, offering 2 petaFLOPS of performance and 512 GB of GPU memory, ideal for handling complex AI models and large datasets.

GRADIANT's 5G lab is an experimental hub for innovating and validating new technologies. It boasts a full-fledged cellular network, including Core Network, Radio Access protocols, and Edge computing. Through end-to-end virtualisation, it leverages general-purpose hardware and open-source software libraries to deploy various network and radio functions. Equipped with computing resources, SDR platforms, and high-bandwidth signal transmission elements, it serves as a versatile 5G base station and terminal.

The Gradiant test field spans over 20 hectares and is dedicated to conducting operational tests with autonomous vehicles (UAVs, UGVs, etc.). Due to the extensive terrain available, the test field combines forest areas, fields, ponds, and even interactions with local flora and fauna. This multidisciplinary environment makes it ideal for addressing tests across multiple agricultural sectors. The area has acceptable connectivity through 4G, although Gradiant can provide its own 4G/5G station to enhance connectivity.

GRADIANT's AI lab is a cutting-edge facility for developing and validating artificial intelligence solutions. It features a comprehensive infrastructure for AI experimentation, including high-performance computing clusters, specialised GPU arrays, and advanced model serving platforms. Through end-to-end MLOps integration, it leverages scalable computing resources and open-source frameworks for deploying various AI models and automation pipelines.

The main crop is silage maize and mash (26 hectares), followed by over 11 hectares of Medicago sativa; 11 hectares of Italian ryegrass and 4 hectares of triticale for silage are also sown on the farm. In this company, research is conducted to develop methods that allow the reduction of pesticides, the decrease in the use of fertilisers and herbicides, and the conservation of water and energy.