Catalogue of Services

Are you looking for a service to validate, test or evaluate your agrifood product? 
Explore our Catalogue to find the perfect service tailored to your needs! 

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AGRIFood Catalogue services

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Experimentation implementing robotics in agricultural processes
HISPATEC
Location
Spain
Arable farming
Greenhouse
Horticulture
Tree Crops
Viticulture

This pilot service focuses on the integration of robotic systems into agricultural processes, enabling the automation of key tasks such as planting, harvesting, and crop monitoring. By combining robotics with advanced software, this service improves operational efficiency, reduces labor costs, and enhances the precision of agricultural tasks. The integration ensures that robotic systems work seamlessly within existing workflows and provide consistent, high-quality performance.

Collection of test data
Performance evaluation
Test execution
Test setup
Experimentation with Artificial Intelligence for Agricultural Optimisation
HISPATEC
Location
Spain
Arable farming
Greenhouse
Horticulture
Tree Crops
Viticulture

This service applies artificial intelligence (AI) algorithms to process and analyse large datasets collected from agricultural operations. By leveraging machine learning and data analytics, the service generates predictive insights about crop needs, such as water, fertilizer, and pest control, allowing for more accurate and efficient resource use. The AI-driven approach helps farmers and agribusinesses optimise their production processes, reduce waste, and improve yields by making data-driven decisions.

AI model training
Data analysis
Test execution
Experimentation with validation tools for crop production and protection
Fondazione Edmund Mach (FEM)
Location
Italy
Tree Crops
Viticulture

FEM will support companies developing machine vision tools (both hardware and software), e.g., for counting and estimating the size of fruits, either by collecting ground-truth data or by comparing the results of the FEM algorithms with the customer solution. These activities are supported by both physical and digital facilities.

AI model training
Collection of test data
Data analysis
Performance evaluation
Provision of datasets
Test execution
Generation of datasets using network-connected sensors
GRADIANT
Location
At user's premises
Spain
Arable farming
Food processing
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture

This service focuses on the collection and processing of data from sensors connected to a 5G or LoRaWAN networks. Leveraging the high-speed, low-latency capabilities of 5G, it facilitates efficient data transmission, ensuring comprehensive coverage and timely data collection across various environments. The collection and processing methods yield high-quality datasets that are essential for training AI models and developing decision-making algorithms, supporting diverse applications. Additionally, the scalable environment developed allows for adaptability across different sensors, use cases, locations, and even communication technologies. 

Provision of datasets
Generation of quality terrain datasets over autonomous ground robots
GRADIANT
Location
At user's premises
Spain
Arable farming
Horticulture
Livestock farming
Tree Crops
Viticulture

This service specialises in generating high-quality terrain datasets using sensor-equipped UGVs (unmanned ground vehicles). By employing autonomous UGVs, the service streamlines the data collection process, ensuring efficiency and accuracy in gathering crucial parameters like humidity, pH, temperature, etc. This equipped UGV navigates diverse terrains, autonomously collecting data in specific locations planned by the user. The automated data collection not only enhances the speed of information gathering but also facilitates the generation of comprehensive datasets. This information is invaluable for professionals seeking to make AI models, make data-driven decisions, and analyse the impact of different strategies on the lands. 

Collection of test data
Provision of datasets
Improve energy efficiency along agricultural value chains
Università degli Studi di Napoli (UNINA)
Location
Italy
Arable farming
Food processing
Greenhouse
Horticulture

The service provides tailored testing and implementation support for smart energy monitoring, IoT solar sensors, and energy management systems designed for agri-food companies, helping them reduce costs, improve energy efficiency, and support sustainability.

AI model training
Collection of test data
Data analysis
Performance evaluation
Test execution
IoT weather predictive models and greenhouse gas emissions from agriculture
Università degli Studi di Napoli (UNINA)
Location
Italy
Arable farming
Food processing
Greenhouse
Horticulture
Livestock farming

The service offers specialised support in developing and testing IoT solutions for agricultural weather monitoring and forecasting. Aimed at AgriTech companies, it leverages advanced technology to help farmers better understand and respond to climate-related challenges. By enhancing real-time weather insights, the service empowers informed decision-making and promotes greater resilience in agricultural practices.

AI model training
Business modelling
Certification
Collection of test data
Conformity assessment
Data analysis
Performance evaluation
Test execution
Lab gold-standard evaluation
University of Cordoba (UCO)
Location
Remote
Spain
Food processing

This service provides a lab-based evaluation for AI classification models, contrasting their results with a gold-standard analysis to assess accuracy and reliability. Focused on applications in food processing, such as beekeeping and pollen counting, this service ensures that AI models meet high standards of precision, which is essential for fields requiring validated data accuracy.

AI model training
Performance evaluation
Lab testing and validation of non-destructive spectral devices focused on agri-food products
University of Cordoba (UCO)
Location
Spain
Food processing
Horticulture
Tree Crops
Viticulture

This service supports companies that are developing non-destructive spectral (NDS) instrumentation for agri-food applications, providing validation studies focused on spectral repeatability, signal-to-noise ratio, and quality assessment. Using a well-equipped sensor lab, the service includes comparisons with commercially available instruments and access to a referenced agri-food sample bank. By conducting repeatability and performance assessments, clients gain insights into device robustness and potential design improvements.

Collection of test data
Conformity assessment
People training
Performance evaluation
Test execution
Test setup
Life Cycle Assessment (LCA) of machines incorporating AI or robotics
Università degli Studi di Milano (UMIL)
Politecnico di Milano (POLIMI)
Location
Italy
Remote
Arable farming
Food processing
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture

To deliver this service, we identify key areas that contribute to the overall environmental footprint of the system and quantify its overall environmental sustainability (based on metrics such as, e.g., energy consumption levels, water usage, impact of chemical inputs, and others). The service provides the customers with the results of the LCA analysis and with a set of actionable recommendations to improve the environmental sustainability of their system. LCA analysis becomes difficult to perform when the machine involves AI or robotics: specialised knowledge of these fields is needed to correctly consider them and their impact on machine operation. For this reason, this service benefits from the expertise not only of LCA professionals but also of AI and robotics experts.

Desk assessment
LCA assessment
Measuring and testing the static rollover threshold for robotics machinery by tilt table
University of Cordoba (UCO)
Location
Spain
Arable farming
Tree Crops
Viticulture

This service utilises a progressive tilt platform to conduct stability testing on self-propelled vehicles and robotics machinery, determining essential parameters of rollover stability. The testing infrastructure is designed to validate the effectiveness of rollover prevention systems, ensuring that machinery meets safety and operational standards. Ideal for arable farming, tree crops, and viticulture, this service provides clients with critical insights into the stability performance of their robotics equipment under varying tilt conditions.

Certification
Collection of test data
Data analysis
Desk assessment
Performance evaluation
Test design
Test execution
Test setup
Navigation for Ground Robots in Agricultural Environments (Real-World Deployment)
Università degli Studi di Napoli (UNINA)
Location
Italy
Arable farming
Horticulture

We offer hands-on expertise in validating navigation algorithms deployed on physical ground robots in agricultural environments. The service includes the use of Simultaneous Localisation and Mapping (SLAM) techniques and terrain classification to enable accurate autonomous navigation. Robots are guided to distinguish between user-defined accessible and non-accessible zones, helping prevent damage to crops and ensuring adherence to safe paths. Our support focuses on real-environment testing, operational validation, and practical advice for improving system performance in the field. 

Collection of test data
Data analysis
Data augmentation
Performance evaluation
Test execution
Test setup
No result