using weather stations to improve irrigation scheduling
DESCRIPTION
Smart Wireless Solution. Using Weather Stations to Improve Irrigation Scheduling. Ali Mah’d Al Shrouf Abu Dhabi Food Control Authority UAE [email protected]. Agriculture, Climate & Water. WHY WEATHER STATIONS?. To get real-time micro-climatic information - PowerPoint PPT PresentationTRANSCRIPT
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Using Weather Stations to Improve Irrigation Scheduling
SMART WIRELESS SOLUTION
Ali Mah’d Al ShroufAbu Dhabi Food Control Authority
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Agriculture, Climate & Water
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WHY WEATHER STATIONS?
To get real-time micro-climatic information To compute Evapotranspiration To use the same data for disease models To monitor soil moisture To correlate irrigation with ETo, soil moisture, soil
salinity, precipitatin, ground water level, etc. -TO UNDERSTAND WHAT‘S GOING ON -
AND TAKE BETTER IRRIGATION DECISIONS!
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Disease Solutions
• provides the grower with advice via computer regarding the optimum moment at which to use fungicides and which type of fungicide to use.
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Irrigation Solution
• The right volume at the right moment.
determine the optimum time for irrigation.
• This prevents both damage due to draught stress and excessive watering.
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Insect Solution
provides a grower with advice via his computer regarding the insect's current development stage. This allows the correct moment and the correct type of insecticide to be determined.
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Fertilizer Solution
• Advises how much and at which point to apply fertilizer.
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ADFCA AGRI-METROLOGICAL STATION
Objectives: effectiveness evaluation for using the automatic weather station in Irrigation calculation
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Weather Stations for Irrigation Improvements
What is todays most important rule for irrigators?– THE RULE OF THUMB
Why do farmers irrigate the way they irrigate? „because it looks dry“ „because that‘s how I always did it“ „because it feels right“
irrigation decision is pure guesswork
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Precision Irrigation
Irrigation Improvements– Just about all farmers over-irrigate - with rather detrimental
consequences:• Wash out of nutrients = increased need of fertilizers• Too much water in the soil > too little oxygen! This
– largely affects the plants „metabolism“, reduces growth,– harms micro-organisms, reduces yield.
• Pollution of ground- and surface water (nitrates!!)• Unnecessary wear and maintenance of equipment• Waste of energy (electricity, fuel) to run the pumps
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Temporary slow downof daily crop water use and
growth caused by over irrigation.
Irrigation
Irrigation
3 days
45 m
m
10 days80
mm
15 mm/day
8 mm/day
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Precision Irrigation
Irrigation ImprovementsSome farmers under-irrigate - with consequences as fatal:– The plant suffers excessive dry stress = reduced yield, lesser
quality crops– Water and fertilizers do not reach the active root zone =
reduced yields, lesser quality crops– Water and fertilizers that do NOT reach the active
• rootzone are 100% lost for this crop! And so is the• energy invested for their application!
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An Automatic Weather station - Sensor Requirements
• at least the sensors required by the ETo Formula according to Penman-Monteith is needed.
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A Weather Station‘s Sensors
• Data collection - the Sensors (evaluation criteria)– Sufficient Accuracy– Robust– Operate in wide temperature range– Low Power Consumption– Little drift over time– Simple Installation, low maintenance
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Data Collection: GPRS
InternetMeasure once per minute, transmit averages every 15
minutes
GSM Provider
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Weather Stations for Irrigation Improvements
• Which quality / accuracy is required?– Sufficient accuracy for the task!– Low Drift at least within the first five years– Low maintenance requirements– Remote Configuration– Low Power Consumption
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Local Quality Control and Assurance
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Water - the resource of the future
• Monitoring needs in the cycle of water– Precipitation– Quantity and quality of irrigation water– Irrigating• Evapotranspiration• Soil moisture (at various levels)• Wind speed and direction
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QA/QC Checks
Range – within a reasonable range
Step – maximum allowable change
Persistence – minimum allowable change
Like Sensor – similar value to similar sensors
Spatial – similar value to neighboring stations (parameter dependent)
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Range Checks
Three range checks1. Valid2. Suspect3. Invalid
If the data falls within the inner range then it will be marked Valid If it falls in between the outer range and the inner range it will be marked Suspect
If data falls outside the outer range it will be marked as Invalid If the data is missing it will be marked Missing and then filled
InvalidSuspect
Valid
Hourly Parameter of Interest
InvalidSuspect
Valid
Hourly Parameter of Interest
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Range Checks: Solar Radiation
-0 950
Invalid
Suspect
Valid
Hourly Solar Radiation (W m-2)
• Use wave function to define when day light occurs: Daylight = f(latitude, Julian day)
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Persistence Check
valid
valid
susp.susp. susp.
valid
Difference of Maximum and Minimum over n steps must begreater than y
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Step
valid
valid
susp.
valid validvalid
Difference of maximum and minimum over n steps must be at most y
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Automated Q/C
–Upper and lower limit checks on sensor data–Rate of change between consecutive readings
– Every morning, data graphically reviewed–Geographically similar stations grouped– All weather parameters reviewed– Bad data estimated or deleted–Dependent computations (ET) recomputed
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Other Tests
• Like Sensors– Relating wind speed 2M to wind speed 10M– Relating occurrence of precipitation to humidity
• Nearest Neighbors
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THANK YOU