Use Cases of AgrospAI
Use cases underway on the AgrospAI demonstrator, at different maturity levels and following the good practices of our guide Development of use cases in agrifood data spaces.
Monitoring and certifying environmental sustainability in pig farming
This is a use case focused on monitoring and certifying environmental sustainability in the pig farming sector. NetPig’s main goal is to facilitate the sustainability certification process for pig farmers, addressing the key challenges currently faced in this area. It also places strong emphasis on preserving farmers’ full control over their data. The system ensures data sovereignty, guaranteeing ownership and complete control by the producers.
Computer Vision for animal well-being in the pig sector
This use case focuses on assessing animal welfare in pig farms through video analysis of pig pens, ensuring data sovereignty via AgrospAI. The surveillance footage, provided by the Centre of Swine Studies (CEP), is not directly accessible by data consumers; instead, it is processed through Computer Vision services in secure data computing environments. The service performs segmentation and tracking of pigs to generate metrics such as the time spent in feeding areas or their activity levels. Only these derived metrics are shared, ensuring that the original data remains under CEP's control.
Precision livestock farming data sharing, integration and exploitation
This use case shows how sharing and integrating precision livestock data in a data space can foster innovation while maintaining the originator’s sovereignty. The CEP shares data generated at its experimental pig farm, including data from third-party precision feeding machines, without enforcing predefined schemas, which lowers entry barriers. Semantic data integration and subsequent exploitation are carried out while ensuring the data remains under CEP’s control. Services like semantic mapping with RML and AI model training algorithms are available through the data space.
Soil tests data integration and sharing using Generative AI
This use case demonstrates how agricultural cooperatives, such as Fruits de Ponent, can leverage accumulated soil analyses stored in PDF reports of various formats to generate new value. Using locally executed Generative AI (GenAI) services, data is extracted and integrated from these reports, ensuring that personal and sensitive information remains under the cooperative’s control."
Plant protection integrated reports
This use case shows how Plant Protection Groups (ADVs) in Catalonia, which provide technical advice on plant health to more than 22,000 farmers, can share the data they collect on pests through AgrospAI without losing control over it. For example, thanks to AgrospAI’s data computing capabilities, companies can train pest prediction models without accessing raw data, thus preserving the sovereignty of the information generated by the ADVs.
Orchestrating access to data from agrifood sensors
In collaboration with the University of Córdoba (UCO) and its FIWARE Digital Transformation Hub, this use case explores how to orchestrate access to datasets from agri-food sector sensors and weather stations, which are collected and integrated using FIWARE.
Validation of computer vision models applied to crops
This use case provides a validation service for fruit detection algorithms based on agricultural images. It uses datasets with real-world annotations to compare the predictions generated by the models with ground truth. The goal is to offer companies in the sector a reliable tool to evaluate the accuracy of their algorithms without conflicts of interest.