Catalogue of Services

Provision of datasets

Politecnico di Milano

Location

Italy

Remote

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

During the development of systems based on AI and/or robotics, tailored data are needed to support the realisation, validation and optimisation of systems and subsystems. This service aims at providing such data. AI models are a noteworthy example of systems that require data to be trained; more generally, any system which processes data produced via artificial perception (such as images, videos, LiDAR, ultrasound, radar...) requires suitable data to be built, tested and fine-tuned. This service allows a customer to define together with AgrifoodTEF the specific features of the data that the customer’s activities require and to receive datasets precisely matching such features. Among the features to be defined are the type, number and specifications of the data streams comprised in the datasets (e.g., when multi-sensor data are required) and the range of variations encompassed by the data (e.g., variety of environmental conditions represented in a sensor stream); lower-level features to be defined concern formatting and packaging of the data.

Provision of datasets

Josephinum Research

Location

Remote

Arable farming

Horticulture

Tree Crops

Viticulture

Our service offers a comprehensive dataset tailored for training or testing your solutions in the technology and agricultural sectors. Whether you're looking to enhance existing models or build new ones, our versatile data can be adapted to fit your specific needs. For those requiring an even more robust solution, our service seamlessly integrates with our data augmentation and labelling service (S00172), ensuring that you have access to well-organized and precisely labelled data. This flexibility allows us to support a variety of sensors and use cases, utilizing both existing data records and capturing new data in your application area. Optimize your agricultural technology solutions with our data services, designed to propel your projects forward efficiently and effectively.

Provision of datasets for simulation and visualisation

Wageningen Research - WR

Location

Netherlands

Remote

Arable farming

Horticulture

Tree Crops

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

Wageningen Research - WR

Location

Netherlands

Remote

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. 

Safety and Regulatory Testing for Agricultural Robotics

Danish Technological Institute

Location

At user's premises

Denmark

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

This service offers a thorough examination of agricultural robots, focusing on safety validation under diverse operational conditions. It tests stopping distances and response times for mobile robots across various speeds and payloads. Regulatory compliance is assessed to ensure adherence to industry standards. The service utilizes a controlled testing environment that simulates agricultural field conditions, equipped with measurement tools to analyze stopping distances and robot dynamics. Parameters can be adjusted to test different speeds, payloads, and environmental factors, minimizing risks and enhancing reliability in dynamic farm environments.

Satellite: Evaluation of results of physical testing

University of Cordoba

Location

Remote

Spain

Arable farming

Horticulture

Livestock farming

This service offers an evaluation of satellite-derived data quality by applying performance metrics that assess model reliability and effectiveness. The service includes a comprehensive analysis of test data and previously collected ground truth data to validate the performance of models used in precision agriculture. With a detailed performance report, clients receive valuable insights that support model improvement and informed decision-making in agricultural management.

Setup for AI solution testing

Fondazione Bruno Kessler

Location

Remote

Arable farming

Food processing

Greenhouse

Horticulture

Livestock farming

Tree Crops

Viticulture

Digital testing of an AI solution often requires action to obtain the proper configuration. This service contains all the required actions necessary to configure, integrate and execute the client AI solution with FBK test environment. Carrying out these preliminary activities, FBK will be able to have a working setup that will be the entry point for subsequent testing and validation services.

Test and validate intelligent solutions based on sensors to optimise livestock farming

Centre d'Estudis Porcins

Location

Remote

Spain

Livestock farming

The service validates that the tested solution performs as expected by the vendor or manufacturer. The objective is to detect potential mistakes in the sensor readings, the processing of the signal gathered by the sensor or in the intelligent component deriving the final information to be provided to the user to optimize livestock farming . The test can be performed at sensor or application level. The tests and validation can be performed in a laboratory or in an experimental pig farm equipped with automatic and manual measures of different variables (feed, water, CO2, NH3, temperature, ventilation, liveweight, etc.)

Testing AI Solutions for Precision Agriculture

Danish Technological Institute

Location

Denmark

Arable farming

Food processing

Greenhouse

Horticulture

This service focuses on testing and experimenting with AI solutions specifically designed for agricultural applications. It aids companies in robotics and drones by facilitating the implementation and deployment of advanced technologies in farming and food processing environments. The service includes the evaluation of new sensors and algorithms that enhance localisation and positioning, crucial for precise agricultural operations. We offer testing and validation of AI-driven solutions for precision agriculture, support for implementing robotics and AI in agricultural practices, optimisation of sensor and algorithm performance for enhanced crop monitoring and yield prediction, and deployment of drones for aerial surveillance and data collection on large farms.

Testing and validating AI models in a simulated environment

Instituut voor Landbouw-, Visserij- en Voedingsonderzoek

Location

Remote

Arable farming

Greenhouse

Horticulture

Livestock farming

This service enables the thorough testing and validation of your AI models within a simulation environment, ensuring optimal performance before real-world deployment. We implement your AI model and its corresponding dataset into advanced simulation software, allowing it to be tested without hardware limitations or with hardware-in-the-loop simulations where AI is (partly) integrated into the hardware or operating software. For example, the AI could simulate a robotic system navigating a field to detect and remove weeds. This method ensures your model functions accurately and efficiently under various conditions, accelerating its readiness for practical use in agri-food applications like precision farming or automated harvesting.

Testing and Validation of AI-based Agri-tech Technologies with Drones

Danish Technological Institute

Location

Denmark

Arable farming

Greenhouse

Horticulture

Livestock farming

Tree Crops

The service focuses on testing and validating AI-based agri-tech technologies using drones. Drones equipped with advanced RGB and spectral cameras provide detailed area overviews and precise measurements of plant and tree growth and stress levels. This can include biomass determination, growth model development, yield potential assessment, plant cover evaluation, individual plant counting, damage assessments, and disease stress symptom identification. Our expertise lies in leveraging high-precision multi- and hyperspectral cameras in field trials to obtain "ground truth" data, essential for model validation. We transform drone data into actionable insights through AI analysis, agronomic expertise, web programming, and mathematical modelling.

Testing and validation using pilot and lab scale test beds for agricultural AI solutions

Danish Technological Institute

Location

Denmark

Arable farming

Greenhouse

Horticulture

Livestock farming

Our pilot and lab scale testbeds provide a controlled environment for customers to execute physical tests of their agricultural technology, machines, or algorithms. These testbeds can be configured to simulate real-world agricultural environments, allowing for precise control and monitoring of variables. This setup enables AI models to be trained and refined using accurate, real-time data. The testbeds incorporate automation to mimic various agricultural tasks, offering a comprehensive platform for testing and optimising AI-driven agricultural solutions. This service bridges the gap between theoretical development and practical application in the agricultural sector.