IRIDA: Innovative remote and ground sensors, data and tools into a decision support system for agriculture water management

Project presentation: IRIDA

diego_molina.png  Coordinator: Dr. Diego S. Intrigliolo Molina
Projects  Partner and Institution:
University of Catania

Key words: big-data analysis; evapotranspiration; irrigation scheduling; plant water status; soil water status; weather forecasts

Abstract: Efficient agriculture water use is of crucial importance for water resources management. Evapotranspiration is an important part of the water cycle, as it is the sum of evaporation and plant transpiration from the Earth's land and ocean surface to the atmosphere. Consequently, accurately determining evapotranspiration (ET) is the first step for improving irrigation efficiency and productivity and for quantifying the ecosystem water balance. The IRIDA´s approach is to combine on the ground ET and soil moisture measurements, with remote sensing ET determinations obtained with unmanned aerial vehicle (UAV/RPAS/UAS) (at plot scale) and manned vehicles and satellites (at catchment scale). IRIDA will integrate the methodologies and routines into a decision support system that will serve to manage the large amount of inputs by means of big data analysis tools. The IRIDA platform to be created will provide simple irrigation recommendation supporting end-users and irrigators when deciding the exact location for installing on-ground soil and plant water status sensors. On the other hand, at the water basin level, under conditions of varying land use as in northern Northern Europe, the evaluation of satellite remote sensing will allow increasing the accuracy of the ecosystem water balance determination, improving flood predictions and the water footprint assessment. At the end of the project execution, End Users’ interfaces and applications such as cloud web server and smartphone applications to exploit solution intelligence will be designed. By using the IRIDA protocols, the water savings to be achieved are expected to be around 7 to 15% and the estimated direct farm savings costs could be up to 420 €/ha. These first estimations based on theoretical assumptions, will be validated in several field demo-areas in Spain, Italy, Romania and Norway across different environmental and cropping conditions.

Project structure
WP1 Evapotranspiration determinations
WP2 Plant and soil water status determinations
WP3 Big-data analysis and DSS development
WP4 Validation and agronomical and environmental impact assessment
WP5 Dissemination and market exploitation
D1.1 New low-cost sap flow sensor. 3 set of gauges, specification and user manual. IAS-CSIC, M12
D1.2 Procedures for using sap flow for determining ET in fruit and forest trees. CEBAS-CSIC, M22.
D1.3 Algorithms for upscaling ET measurements from on-ground measurements to field or small catchment scale using remote sensing and modeling. UNICT, M24
D2.1 Protocols for determining the soil water balance using the 3D ERT technology. UNICT, M16.
D2.2 Procedures for determining representative location within a field when measuring soil and plant water status. IAS-CSIC, M20.
D3.1 Report on routines and algorithm for big-data analysis and image processing. CEBAS-CSIC, M18
D3.2 IRIDA DSS available in cloud server with demo facilities available. Experis IT , M32
D3.3 Smartphone Apps for android and iOS. Experis IT, M36
D4.1 Agronomic validation of the IRIDA protocol for scheduling precise full and deficit irrigation based on plant and soil water status information. CEBAS-CSIC, M32 
D4.2 Agronomic validation of the IRIDA protocol for scheduling precise full irrigation based on crop modelling and weather forecasts. NMA, M33
D4.3 Environmental assessment of the IRIDA protocols based on water balance predictions for mitigating impacts of extreme weather in mixed agro-forestry systems. NIBIO, M35
D5.1 Project web page fully operative and functional (M4). Experis IT
D5.2 Report on potential targeted market for IRIDA DSS exploitation and commercialization plan including pricing strategies (month 10). Experis IT
D5.3 Report on the open-day carry out at the 4 demo sites in Spain, Italy, Romania and Norway with a list of first potential customers (M30). Experis IT
D5.4 After project life plan including identification of R&D project calls of interest (M36). CEBAS-CSIC

References coordinator and  leaders of  each WP:
CEBAS-CSIC: PhD Diego Intrgliolo
IAS-CSIC: PhD Luca Testi
INNOVATI: Ing. Daniel Rodriguez
UNICT: PhD Simona Consoli
CREA: MsC Giancarlo Roccuzzo
NMA: PhD Elena Mateescu
NIBIO: MsC Johannes Deelstra

Contact Point for  Communication/Dissemination activities: Dr. Diego Intrigiliolo - Ana Cerezo

Contact Point for Open Data/Open Access activities: Dr. Diego Intrigiliolo

Results of the project: Data and resources

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published on 2016/07/27 11:55:00 GMT+2 last modified 2019-08-27T15:21:50+02:00