Catalogue of Services

Life cycle assessment for AI and robotic solutions

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Location

Poland

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

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.

Performance and sustainability testing of robotic or AI-driven solutions

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Location

At user's premises

Poland

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

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.

Performance Testing of Robotic Systems and AI Solutions

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Location

At user's premises

Poland

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

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.

Physical Testing of Endurance & Reliability

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Location

At user's premises

Poland

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

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.

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

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Poznan Supercomputing and Networking Center (PSNC)

Location

Poland

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

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.

Provision of cloud-based data storage

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Poznan Supercomputing and Networking Center (PSNC)

Location

Remote

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

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 real-time data streams

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Location

At user's premises

Poland

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

The service provides access to data streams collected from equipment tested by other services or using specially installed sensor or camera arrays in specific test environments. It includes the provision of data streams from sensors and cameras installed to meet specific customer needs in agreed areas and tailored to work in these specific locations. Such areas are, for example, fields, orchards, vineyards, forests, or specific locations such as farms, barns, or warehouses. Furthermore, the service includes access to corrections from local RTK stations and meteorological station data. In this way, it provides comprehensive and reliable data access support for a variety of customer requirements.

Qualification of Intelligent Weeding Technologies

INRAE

Location

France

Arable farming

Greenhouse

Horticulture

Tree Crops

Viticulture

The AgroTechnoPôle, under the leadership of INRAE-TSCF, has pioneered a groundbreaking testing facility designed to assess alternative weeding technologies. This innovative test bench accurately simulates various crop and weed scenarios—including maize, wheat, beans, mustard, and chamomile—allowing for realistic evaluations. By replicating real-world conditions, we can effectively analyse the performance of weeding systems in a controlled and reproducible environment, ensuring the development of more efficient agricultural practices. With this innovative test bench, we can critically assess the spatial precision of perception and decision-making systems. It comprehensively analyses the effectiveness of diverse solutions that integrate perception, decision-making, and action, whether through mechanical, laser, electrical, or targeted spraying weeding methods. The tests occur at AgroTechnoPôle (INRAE—Montoldre, France) and last 2 to 4 weeks, depending on the technology to be tested.

Qualification of trajectory execution accuracy of livestock robots

INRAE

Location

France

Livestock farming

ARPA PC2 thoroughly evaluates how well agricultural robots can follow established paths in indoor and outdoor environments. This service helps ensure that robots can successfully navigate various settings typical of a farm, including any obstacles and transitions between spaces they might face. ARPA PC2 provides essential information about the robot's accuracy and behaviour while moving by testing in real-life conditions. This assessment enhances operational reliability and safety and supports manufacturers in optimising their robots for improved performance in diverse agricultural scenarios.

Qualification of trajectory execution accuracy of crop production robots (outdoor mobility)

INRAE

Location

France

Arable farming

Greenhouse

Horticulture

Tree Crops

Viticulture

The test assesses the accuracy of crop production robots in following precise paths across different terrains, simulating typical agricultural tasks. The test uses advanced laser tracking to measure how well the robot follows a set trajectory, including straight and curved paths, on slopes and amidst obstacles. This enables manufacturers to ensure that their robots meet performance standards for real-world field operations. A detailed report is provided, helping optimise robot performance for outdoor mobility in agricultural settings. A manufacturer’s representative must oversee the process. This test is part of a series known as ARPA: Agricultural Robot Performance Assessment. It is identified as ARPA n (where n is 1, 2, 3, etc.) for tests that focus on safety functions and as ARPA XXn for other performance evaluations.

Testbed preparation

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

WODR

Location

Poland

Arable farming

Horticulture

Testbed preparation will enable costumers to execute physical tests of their technology/machines/algorithms in line with their expectations. 

Within this service, costumers might get a well prepared flat/slopped arable lands or permanent grasslands. 

We can also prepare a land with "controlled rain conditions" or a dump ground. There is also a possibility of providing and preparation of apiary or a sprinkler for software testing. We can help costumers run physical experiments by preparing a cultivated/non-cultivated fields or run tests on test plots, specially designed for testing. Within the latter, we will take care of such elements like: soil preparation, seed/plant procurement, seeding/planting, plant growth management,  preparation of technical infrastructure. All this to meet your needs to ensure optimal conditions for conducting and monitoring tests.

This service can be executed in fields with various area with system of weather stations, phenological stations and ICT infrastructure. We can also prepare costumers sets of data collected for these areas like archive cultivated plants, treatments, crops, etc.

Testing of error handling, failure monitoring, and safety related to cyber threats

Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)

Location

Poland

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

As part of the service, its provider offers to grant access to the possibility to perform and carry out specialised tests for artificial intelligence systems and robots, aimed at detecting system faults, monitoring failures, and providing reliable assessments of cybersecurity risks present in the operation of IT systems, computer systems, data transmission, etc. These are now necessary measures to ensure the safe, reliable, and secure operation of artificial intelligence systems, autonomous vehicles, and robots. They require continuous testing by their user, the owner, which goes beyond basic functionality. In addition, continuous monitoring of failures through sensor data, system logs, and performance indicators is crucial to identify potential problems before they escalate. These activities are also part of a continuous cybersecurity threat assessment of owned ICT systems, databases, etc.