Check out parcel-based SAGRIS reports from a dozen of selected farms in Lithuania, which are currently used for testing of a new GeoFace smart-farming application.
SAGRIS (Sentinels-based AGRiculture Information Service Component) is automated service for satellite data pre-processing, operational mapping and per-parcel statistical sampling, providing a database back-end for application developers and Big Data analytics. It is under development since 2016 by GEOMATRIX UAB - a small private company founded in 2011 and currently based in Vilnius (Lithuania). In 2017 SAGRIS was selected for a Copernicus Masters Accelerator and received a H2020 SME Instrument P1 grant for development of a feasibility study and business development plan. Results of the study revealed unique capabilities and a significant market potential of the service in heavily clouded regions of Europe, encouraging it's full-scale implementation and commercialisation. The main achievements of SAGRIS project and insights into its future development were recently published on CORDIS portal.
SAGRIS poster * Click on different pictures to see SAGRIS on-line presentations

SAGRIS is envisaged as a cloud-based modular satellite imagery processing and BIG Data analysis engine with artificial intelligence sub-system, designed for continuous monitoring over millions of farmland parcels, tracing certain indicators of deteriorating crops or development of potentially hazardous conditions and continuously providing the end-users with personalised situational reports and early warning notifications on any negative developments. Based on Copernicus open data – Sentinel-1 polarimetry SAR products combined with multi-spectral images from Sentinel-2 and Landsat-8 satellite sensors – and exceptional use of open source software, it is designed as a back-end for commercial B2B and B2C Farm Advisory System (FAS) applications and B2P EU Common Agriculture Policy (CAP) subsidies control services operated in heavily clouded regions.

SAGRIS works as automated Earth Observation (EO) data processing service with technologically independent, but functionally inter-connected components – or processing “blocks” – of an integrated EO data (1) pre-processing, (2) object-based sampling, (3) complex analysis (4) reporting and (5) mapping work-flow. Therefore it can be easily adjusted for different applications demanding a continuous time-series of spatially referenced and calibrated satellite images (but also other types of imagery), per-object sampling of signal statistics from millions of objects (parcels, forestry blocks, etc.), detection of certain patterns with OBIA, data mining and machine learning algorithms, as well as generation of per-object personalised reports or customised thematic maps for operational monitoring and reporting purposes.

Functional independence of SAGRIS processing blocks enables a number of expansion scenarios into the countries with already established smart farming applications. In addition to standard SAGRIS smart farming services, it could provide B2B market intelligence services for targeted marketing of PA services, as well as back-end services of image pre-processing, statistical sampling, digital mapping and flexible BIG Data analysis for the existing smart farming or market analysis services. SAGRIS production and operational costs, as well as a steadily growing proportion of RTD and marketing costs, will be covered by revenues from B2B and B2P back-end image processing and CAP subsidies control services.

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