ERMES project aims to develop pre-operational downstream services dedicated to rice farming systems based on the assimilation of Earth Observations (EO) products and in-situ data within crop  modeling solutions. ERMES will exploit the state-of-the-art coming from Geospatial Information Infrastructures (GII), also known as Spatial Data Infrastructures (SDI), and smart applications to acquire in-field information and deliver the service information to End-Users.

The ERMES information chain will be customized in 2 services at regional and local scale:

The Regional Rice Service (RRS) is intended to provide public authorities in charge of regional planning with a customized agro-monitoring system devoted to monitoring of crop status, analysis of regional yield estimates and alerting on potential biotic and abiotic risks.

The Local Rice Service (LRS) wants to provide the private sector (farmers or agro-services such as operators for variable rate technologies (VRT) applications and insurance companies) with information on yield variability at farm scale. Spatially distributed assessment in form of High Resolution (HR) maps related to Cultivated area, Yield variability pattern, Risk alert (biotic/abiotic) and Crop damage will be disseminated to final End-User via smart technology applications.


ERMES intends to develop and demonstrate a pre-operational downstream service able to:

  1.  Fully exploit the synergic use of space borne SAR (particularly Sentinel-1) and Optical (particularly Sentinel-2/3 and MODIS) data and of in-situ bio-physical measurements for the generation of dedicated rice products such as rice crop extent maps, phenological maps or yield variability maps;
  2.  Use these products and GMES/COPERNICUS core service products (e.g., LAI/fAPAR) as spatially-variable inputs for rice crop models (e.g. WARM) in order to produce accurate yield forecast and end-of-season estimation maps, and to produce information related to potential biotic and abiotic risks for rice cultivation (i.e., cold spell sterility,  rice blast infestations);
  3.  Exploit state-of-the-art web and mobile systems for information dissemination using SDI and smart web and mobile technologies, and for the collection of in-situ data necessary for the proper implementation of spatially-variable crop modeling solutions (i.e., sowing dates, crop management practices, phenological development, etc.).

ERMES services and products will be developed and tested/demonstrated during the projects’ life span in Regional and Local Study Areas identified in three Mediterranean rice-producing countries (Italy, Greece and Spain). The services will be also applied in an extraeuropean country during the third year of the project, with the long term goal of extending the services framework to Asian and African markets, to boost European competitiveness and contribute to a sustainable development.