This deliverable demonstrates the outcome of the SME/Smart - Viticulture application case of EXA4MIND. The work has focused on a Soil Moisture Content (SMC) monitoring system capable of processing large-scale satellite imagery to support viticulture. This “A quaview” platform is shown, assessed and validated. A central component of this endeavour is a rigorous benchmarking study that evaluates the efficiency of the EXA4MIND "Extreme Data" architecture against traditional data retrieval methods. EXA4MIND with its Advanced Query and Indexing System offers a continuously-updated satellite data cache for Aquaview via an iRODS object store. The performance of selective Cloud-Optimized GeoTIFF (COG) access via this cache is compared to legacy full-file downloads. The results demonstrate that the integrated solution achieves significant improvements in data ingestion speeds and substantial reductions in payload sizes. These findings validate the scalability of the Aquaview pipeline, confirming its readiness to address the critical water management challenges of the wine industry using infrastructure at supercomputing centres.
The EXA4MIND Consortium (Fri,) studied this question.