per Miglioramento dell'efficienza energetica
Agricoltura di precisione
Riduzione consumo idrico
Agricoltura in pieno campo
Contadino, Servizi di consulenza
Pratiche del campo agricolo
Irrigazione
Metodologia, Procedura
Acronimo del progetto: ENORASIS
Tipo di finanziamento del progetto: EU
Fonte di finanziamento del progetto: FP7
Coordinatore del progetto: DRAXIS ENVIRONMENTAL SA
Posizione del coordinatore: Grecia
Email del coordinatore / Modulo di contatto: available at: https://draxis.gr/contact-3
Status del progetto: Finito
Budget totale: 2716118
ENORASIS is a server-based system that gathers data from satellite observations and field equipment (wireless sensor networks), uses the next-generation weather prediction model WRF to provide high spatial accuracy estimations for precipitation and combines all this information with specific crop characteristics (using FAO56 model) to produce daily optimal irrigation advice that is communicated to farmers via web or mobile. Accordingly, farmers may use this real-time information to schedule irrigation activities also in interaction with other cultivation tasks and monitor water consumption both in terms of quantity and cost. Water Management Authorities may use water consumption monitoring data to estimate short and long term pressures on water reservoirs, set water prices as drivers for sustainable irrigation and apply pricing schemes that incorporate the real costs of water (in accordance with WFD).
The overall aim of ENORASIS was to develop an intelligent, integrated Decision Support System (ENORASIS Service Platform and Components) for environmentally optimized and, thus, sustainable irrigation management by farmers and water management organizations. ENORASIS system will actually target to motivate irrigation farmers to optimize the use of water, whereas it will also provide to (irrigation) water management organizations intelligent tools and services to effectively forecast and manage irrigation water resources, cover irrigation demand and charge customers (farmers) on the basis of an intelligent system of motives and incentives that exploits irrigation demand side fluctuations.