Catalogue of Services

This service measures spatial variability in crops and plots through nearby and remote sensors, including electromagnetic probes, yield monitors, drones, and satellites. The data collected allows for the generation of zoning information and the validation of predictive models and digital agriculture systems, such as variable input distribution tools. By integrating environmental data, the service provides essential insights to improve decision support systems and optimize resource allocation in precision agriculture.

AI model training

Evaluation of customer UAV-collected test data from physical testing

This service applies pre-defined performance metrics to UAV-collected test data from customers and corresponding ground truth data to assess the effectiveness and reliability of tested systems. The service includes a detailed evaluation and reporting process, offering clients valuable insights into system performance and supporting their technological validation needs. This evaluation is crucial for clients looking to understand the accuracy and robustness of their UAV-based data collection tools in agriculture.

Satellite-based models for precision agriculture

Location

Spain

Arable farming

This service provides testing and experimentation support for satellite-based models aimed at yield estimation and pre-harvest assessments. By leveraging remote sensing data, clients can develop and validate models that predict agricultural outputs, enhancing decision-making processes in arable farming. This service is ideal for clients seeking to integrate precision agriculture techniques using satellite imagery to optimise crop management and planning.

Provision of datasets

Validating Crop Models Using Proximate Sensor Technology

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

Satellite: Evaluation of results of physical testing

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.

Evaluation of sprayer boom for spot spraying site-specific applications

This service evaluates the efficiency of sprayer booms equipped with sensors that use artificial vision to detect weeds and enable site-specific phytosanitary applications. Through field tests and drone-assisted monitoring, the service examines how accurately the sprayer boom applies treatments, identifying false positives (detecting weeds where none exist) and false negatives (failing to detect actual weeds). The service is essential for improving precision agriculture practices in arable and horticultural crops, as well as in tree crops and viticulture.

Certification

Testing and validation of precision livestock farming solutions for grazing animals

Location

Spain

Livestock farming

This service supports the testing and validation of precision livestock management tools designed for grazing animals such as horses, cattle, and sheep. Conducted on collaborating research farms, the service evaluates hardware, firmware, and software components to confirm they meet manufacturer specifications. It includes direct observation of animal behaviour and performance, along with comparative analyses against similar tools. Clients receive actionable recommendations to address any detected limitations, enhancing the tool’s functionality and market viability in precision livestock farming.

Conformity assessment

Provision of datasets

Performance testing of deep learning solutions

This service evaluates the performance of deep learning algorithms to determine their efficiency and feasibility for migration to embedded devices. By leveraging high-performance computing (HPC) and GPU resources, this testing helps developers understand how well their algorithms perform in terms of speed, accuracy, and resource consumption. The service is particularly beneficial for applications in food processing, such as beekeeping and pollen counting, where real-time data processing is essential.

Lab gold-standard evaluation

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

Evaluation of monitoring technologies for parameters in harvesters and equipment used in the pre- and post-harvest phases of speciality crops

This service provides physical testing and evaluation of parameter monitoring technologies integrated into harvesters and post-harvest equipment for speciality crops, particularly in olive farming. Field assessments cover a range of technologies, including yield monitors, harvest mapping, fleet management systems, remote diagnostics, and fruit evaluation tools. By focusing on the pre- and post-harvest phases, this service ensures that sensor performance and measurement accuracy meet industry standards, supporting sustainable and precise agricultural practices.

Certification

Desk assessment

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.

Evaluation of sprayers for tree crops for site-specific applications

Location

Spain

Tree Crops

This service assesses the efficiency of sprayer systems designed for tree crops, focusing on site-specific applications of phytosanitary treatments. By integrating sensors such as 3D cameras and canopy maps, the service evaluates canopy volume detection and distribution accuracy. Field testing includes drone flights and hardware implementation to monitor sprayer performance. This service is ideal for precision agriculture applications in tree crops, providing insights into equipment effectiveness for sustainable and targeted treatment distribution.

Certification

Desk assessment

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