Catalogue of Services

This service provides a comprehensive network of proximate sensors at the Rabanales Experimental Farm to monitor and model crop growth and environmental conditions. The sensor setup includes devices that measure humidity, radiation, electrical conductivity, NDVI, temperature, and other key parameters. Data collected from these sensors enables detailed evaluations of crop development, helping clients understand productivity potential and refine complex agricultural models for eco-efficient crop management.

Desk assessment

Provision of datasets

Validation and testing of UAV-remote sensing products

This service provides comprehensive field testing for proximal remote sensing technologies mounted on UAVs (drones), including RGB, multispectral, hyperspectral, thermal, and LiDAR sensors. The service allows for the precise assessment of plant traits across a variety of agricultural environments. Clients can validate the performance and accuracy of remote sensing tools under real-world conditions, facilitating better crop monitoring, phenotyping, and data collection to support data-driven agricultural decisions.

Provision of datasets

Validation of accuracy in tree volume calculation for biomass estimation

Location

Spain

Tree Crops

Validation of image recognition algorithms used to calculate tree volume as a basis for biomass estimation. Field tests will be conducted. The algorithm's results will be compared with physical measurements to verify reliability and accuracy in different operational contexts.

Instituut voor Landbouw-, Visserij- en Voedingsonderzoek

Validation of Integrated Agri Software

This service ensures that the software powering your hardware solution works seamlessly across all components. By testing the integration between different systems—whether it's farm machinery, drones, sensors, or management platforms—we test performance in a practical setting. This helps agribusinesses streamline processes, uncover potential issues, optimise decision-making, and allow comparing different approaches. Whether you're automating irrigation, monitoring crops, or integrating autonomous decision-making software, this service ensures that your technology ecosystem functions cohesively, enabling you to improve efficiency and achieve better outcomes.

Validation of irrigation AI models through soil sensors and climatic data

This service focuses on the validation of intelligent irrigation systems through the recalibration of the model based on data obtained from soil sensors, and evaluation with other data sources. It includes physicochemical parameters of the soil, and variable distribution of water and supplies. Observations are systematic and cover different conditions and crops to verify model accuracy and the effectiveness of site-specific input distribution.

Validation of irrigation AI models through soil samples

This service involves the validation of irrigation optimization systems using intelligent irrigation technologies available on the farm. It includes physicochemical parameters of the soil, variable distribution of water and supplies. Observations are systematic and cover different conditions and crops to verify model accuracy and the effectiveness of site-specific input distribution.

Validation of reliability and detection of hallucinations in virtual assistants

Validation of the reliability of virtual assistants with a focus on detecting "hallucinations" (incorrect or inconsistent responses generated by the system). The analysis will assess the usefulness and accuracy of responses. Opportunities for improvement in efficiency and usability will also be identified.

Validation of robotic systems and algorithms

Wageningen Research - WR

End-users like to see an objective validation of a technology in terms of added value (costs vs. benefits), technical specifications (accuracy, capacity, power requirements, etc.), and user acceptance (ease of use, gain, and joy of working with the technology). At Wageningen Research - Field Crops, we can validate your solution according to the agrifoodTEF protocols and deliver you a WUR white report on your technology.

Validation of Smart Irrigation Technologies

This service offers agrotech companies the opportunity to test and validate the results of smart irrigation technologies in real farming environments. The service includes installing the technology on-site and monitoring its performance under real-world conditions. Metrics such as water usage, crop yield, and system efficiency are analysed to provide a comprehensive validation of the technology's impact. This hands-on evaluation ensures that companies can implement these systems with confidence, knowing their effectiveness in the field.

Validation of Yield Estimation based on Computer Vision

Universitat de Lleida

Validation of fruit detections, diameter estimation, and yield estimates using artificial intelligence, in particular computer vision techniques.

The service will help the solution provider check its performance using reference datasets or experiments conducted in testing fields. The service might also include the generation of reference datasets and expected detection, diameter measures, or yield values, which can be used both for validation and training of the artificial intelligence solution based on computer vision.

AI model training

Valorisation of data and assessment of data space integration

Fondazione Bruno Kessler

Analysis of collected data in the context of AI agriculture product or service development and opportunities for data-value extraction via integration within the AgrifoodTEF DataSpace. We can help customers understand the value of their data (monetary and not monetary) and channels to offer it to potential users/buyers. By analysing the offer and demand in relevant Data Spaces, we suggest the optimal way to describe metadata and adopt the right technology implementations to make data visible, ensuring data owners never lose control of who accesses their data. The services include consulting customers on the enrichment of their data system to adopt data sovereignty and trust solutions that make them contribute to and be part of the European data space strategy.