Overview
Research centres and AI enterprises often struggle to commercialise newly developed algorithms, while farmers and agronomists hesitate to adopt AI solutions without proving they work on their own fields. This service provides a hosted validation marketplace. Algorithm developers can publish their models (e.g., drought and water stress detection via drone imagery) as an executable service within the AgrospAI Data Space. End-users can then securely upload their own assets (such as field images or sensor logs) and run them against the algorithm to validate its real-world accuracy under their specific agronomic conditions – crop variety, microclimate, field geometry – before any commercial commitment. AgrospAI provides the robust computing resources required to execute these heavy data tasks. Processing high-resolution drone imagery, multispectral data, or complex sensor arrays requires significant computing power. By hosting the algorithm on the AgrospAI HPC cluster, the heavy lifting of data inference is offloaded from the end-user. The developer's intellectual property (the algorithm) is protected within a containerised environment, while the end-user's uploaded data is processed securely and efficiently. Thanks to the Pontus-X technology, the end-user's data is deleted from the environment once processing is complete, guaranteeing that data will never be leaked. This creates a secure, neutral environment where the technology can be validated on real agrifood assets under real field conditions.
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- Universitat de Lleida (UdL) | Website