figaro flexible and precise irrigation platform to …
TRANSCRIPT
FIGARO
Platform Technological Achievements
FLEXIBLE AND PRECISE IRRIGATION PLATFORM TO IMPROVE FARM-SCALE WATER PRODUCTIVITY
International FIGARO Conference, 19 September 2016, Brussels, Belgium
Adelio SilvaHidromod
Precise irrigation requirements
Precise irrigation requires detailed information intime and space:
1. Models can provide this detailed information
2. For that we need detailed input
3. We also need reliable weather forecasts
4. We also need to get proper reliable and accurate data
5. Then it is required that the produced information be in line with thefarmers requirements and at the same time be delivered in an enoughattractive form that the farmers want to use it
General concept
Main Features
• Adapt to different users and user needs;
• Provide integrated modeling/data results;
• Link with several models and data sources (use what you already
have)
• Provide automatic reports (including irrigation advice);
• Early warnings via customized alarms or triggers that combine several
real or modeled data sources
data sources
Models and data server
viewers
FIGARO
data sources
– Server client architecture
– Capability to link itself to different models, data bases or data
sources (including scada systems) and other platforms
FIGARO platform main characteristics
Models and sensors integration
Using sensors to see the real world picture
Using models to apply best practice and knowledge
Models
The platform is able to support any type of model
Models
But a number of alternative models is already available and other may be added as required
Integrates short to long term forecasts
The models runs daily (or with any alternative schedule) using the observeddata to the past, the short term forecasts for the next few days (typically 7days) and climatological data for the remaining season.
Day 0 Day n
Climatology
Short term
forecast
Day 7
Day 0 Day n
ClimatologyShort term
forecast
Day 10 Day 17
Measured data
Availability of different weather forecasts
Data sources
The platform is able to link any type of data source (nomatter the vendor or data type)
Continuous updated view of forecasts vs observations
Aquacrop
Mohid Land
Measured data
Capability to assess the impacts of soil water content variability
m3/m3
Capability of keeping a continuous overview on the crop yield expectations
Mohid AQ
r 0.99 0.99
R2 0.98 0.98
RMSE 4.61 4.6
NRMSE 6.19 6.1
ME 0.98 0.98
W 0.98 1.00
Mohid AQ
r 0.99 0.97
R2 0.98 0.94
RMSE 2.51 3.2
NRMSE 0.19 20.6
ME 0.96 0.94
W 0.98 0.99
Automatic reports and alerts
2012
Volgrav = 1676 m3
EDI (%) = 71.6 %
CEVTp= 0.134 kWh m-3
CEVTT= 0.096 kWh m-3
PminHid= 0.25 MPa
Volgrav = 2341 m3
EDI (%) = 60.3 %
CEVTp= 0.129 kWh m-3
CEVTT= 0.078 kWh m-3
PminHid= 0.20 MPa
Volgrav = 3296 m3
EDI (%) = 44.1 %
CEVTp= 0.109 kWh m-3
CEVTT= 0.048 kWh m-3
Gravity
Pumped
Energy optimization
