1. Using Weather Stations to Improve Irrigation Scheduling S MART W IRELESS S OLUTION Ali Mah’d Al Shrouf Abu Dhabi Food Control Authority UAE Ali.Alshrouf@adfca.ae

2. Agriculture, Climate & Water

3. 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!

4. 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.

5. 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.

6. 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.

7. Fertilizer Solution Advises how much and at which point to apply fertilizer.

8. Objectives: effectiveness evaluation for using the automatic weather station in Irrigation calculation

9. 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

10. 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

11. Temporary slow down of daily crop water use and growth caused by over irrigation. Irrigation Irrigation 3 days 45 mm 10 days 80 mm 15 mm/day 8 mm/day

12. Precision Irrigation Irrigation Improvements Some 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!

13. An Automatic Weather station - Sensor Requirements at least the sensors required by the ETo Formula according to Penman-Monteith is needed.

14. 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

15. Data Collection: GPRS Internet Measure once per minute, transmit averages every 15 minutes GSM Provider

16. 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

17. Local Quality Control and Assurance

18. 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

19. 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)

20. Range Checks  Three range checks 1.Valid 2.Suspect 3.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

21. Range Checks: Solar Radiation -0950 Invalid Suspect Valid Hourly Solar Radiation (W m -2 )

22. Persistence Check valid susp. valid Difference of Maximum and Minimum over n steps must be greater than y

23. 23Step valid susp. valid Difference of maximum and minimum over n steps must be at most y

24. 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

25. 25 Other Tests Like Sensors – Relating wind speed 2M to wind speed 10M – Relating occurrence of precipitation to humidity Nearest Neighbors

26. THANK YOU