Catalogue of Services

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Generation and provision of labelled datasets for benchmarking purposes

Poznan Supercomputing and Networking Center (PSNC)

The service provides the ability to deliver to the client model training data sets with labels and metadata, which will later be used to conduct comparative analyses of AI algorithms by the target groups using the technologies under study. The datasets delivered to the client will be configured or customised in advance, as appropriate, according to the requirements and needs of the client of the service. Customisation processes will include configuring and adjusting the data and labelling according to the scopes of field operations, technological processes or communications to which the transferred data assets relate. These data sets include, but are not limited to, satellite and spatial data for remote sensing, phenological data for different crops, or synthetic data to expand training opportunities.

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Life cycle assessment for AI and robotic solutions

This service offers a comprehensive environmental analysis of the entire life cycle of your agri-food products, processes, or services, with a particular focus on innovative AI and robotic solutions. Our Life Cycle Analysis (LCA) gathers detailed data on natural resource extraction, environmental emissions, and fuel and energy consumption, specifically related to technologies tested within the agrifoodTEF project – such as AI-powered facilities, autonomous vehicles, and other robotic systems. This enables a robust assessment of environmental impacts across categories including climate change, ozone depletion, and resource scarcity. We also conduct a full carbon footprint analysis, focusing on greenhouse gas emissions and energy use directly linked to the operation and performance of these AI and robotic technologies. To support this process, we offer both general and technical assistance, guiding clients through each step of the LCA. The results help identify opportunities for resource optimisation and waste reduction, ultimately supporting informed business decisions based on tested, cutting-edge solutions. Additionally, our carbon footprint assessment facilitates voluntary emissions reporting and the development of decarbonisation strategies using secure, cloud-based data collection.

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Performance and sustainability testing of robotic or AI-driven solutions

This service provides a comprehensive assessment of the performance of systems, focusing on sustainability indicators such as energy consumption and input usage per hectare. It evaluates the impact of artificial intelligence (AI) or robotic solutions on the performance and sustainability of the associated equipment. The service includes tests such as functional testing, accelerated durability testing, and assessments of the system’s resilience to environmental factors and electromagnetic interference (EMI). By identifying potential design flaws or manufacturing defects, the service supports the development and optimisation of tested solutions, contributing to sustainable technological advancements.

Desk assessment

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Performance Testing of Robotic Systems and AI Solutions

We provide physical testing services, under both laboratory and field conditions, to assess the proper performance of the object under test, the level of quality, and the performance achieved. These tests focus on evaluating the performance of an object under laboratory and operational (field) conditions while maintaining its proper functionality. Our testing process helps identify potential weaknesses in the design of the device, offering insights that can inform adjustments to algorithms or hardware. This service aims to ensure that systems perform reliably under a variety of conditions, helping to prevent failures and maintain optimal performance in real-world applications.

Desk assessment

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Physical Testing of Endurance & Reliability

We provide physical testing services, both in laboratory and field environments, to evaluate the endurance and reliability of devices and their components. These tests focus on the ability of components to withstand external conditions while maintaining proper functionality. Our testing process helps identify potential weaknesses in device design, offering insights that can inform adjustments to algorithms or hardware. The service is designed to ensure your systems can perform reliably under a variety of conditions, helping to prevent failures and maintain optimal performance in real-world applications.

People training

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Providing demonstration testing on the test field of robotic or AI-driven solutions

Poznan Supercomputing and Networking Center (PSNC)

As part of the service, a testbed will be provided for product demonstration of robotic machines along with AI systems. The polygon will be configured and prepared to meet the customer's individual needs in terms of field operations, technological processes, and communication. The service provider will provide polygons with a variety of surfaces according to the customer's specifications, e.g., meadow, ploughed field. The service will include soil moisture control, continuous monitoring of the field, and all activities carried out on it. The service providers will provide the necessary assistance and infrastructure needed to support the fieldwork carried out by the surveyed sites. The service may also involve demonstration of AI systems used in apiaries.

Desk assessment

People training

Provision of a phenotyping greenhouse with extensive sensor set - NPEC

NPEC will enable you to make accurate, high-throughput studies of plant performance possible in relation to relevant biotic (diseases, bacteria) and abiotic (light quantity and quality, nutrients, temperature, moisture, soil pH and atmospheric CO2 level) factors across a range of scales.

The experiments can be performed in a greenhouse compartment with an extensive set of sensors to measure the plant and it’s environment. In growth rooms smaller scale experiments can be performed, with a special chamber for studying the roots of plants using transparent growth media. In the open field crop measurements can be performed using the Traitseeker for RGB, spectral and 3D measurements.

AI model training

Provision of a virtual playground for robots

The service consists of a photorealistic digital greenhouse environment, built in a game engine.

The greenhouse is configurable to different sizes, light conditions (sun, supplementary lighting) or row spacing. In the greenhouse different crops can be placed to either test AI detection networks or complete robotic systems, as there is a ROS2 integration available. The environment is made in a way that physical properties of the objects have influence on other components or robot interactions.

AI model training

Data augmentation

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Provision of cloud-based data storage

Poznan Supercomputing and Networking Center (PSNC)

Within the service we provide: - remote access to the disc space, allowing for safe storage of data (e.g., from sensors, photos from specialised cameras, weather data, satellite data, archive historical crop yields, etc.). - Depending on the needs, the available disc space can range from several gigabytes to tens, if not hundreds, of terabytes. - The stored data may be used directly by the customer or may be used in other services (this refers to using data for AI/ML model training, testing and validation for applications such as precision farming, yield prediction and pest detection). - The ability to store both structured (e.g., CSV, SQL) and unstructured data (e.g., images, videos)

Provision of datasets for simulation and visualisation

In order to develop digital twins for agriculture, reliable long-term datasets on the agronomy and ecology of fields are crucial. From several long-term experiments and agricultural systems (like the Farm of the Future), datasets of fields are available with registrations of crop operations, crop measurements (e.g., timeseries of vegetation indices), yield, soil, & weather data, and data on key performance indicators. In some cases, other sensor data (tractor data, soil moisture, insect monitoring) are also available. New datasets can be developed based on specific needs.

Provision of datasets for validation of AI algorithms for livestock farming

Thanks to 30 years of data gathering at Agro-innovation Centre De Marke, multiple data sets are available. During these years, data is gathered on individual cow events, barn emissions, yields of specific and typical livestock farm crops, soil samples were taken, and feeding strategies were developed. Due to the systematic approach of De Marke, this data can be easily reused for setting up specific validation of AI algorithms. Additionally, new data can be gathered as requested.