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Evaluation of automated bay irrigation Rod Smith, Jasim Uddin, Malcolm Gillies – NCEA Peter Moller, Kevin Clurey – Rubicon Water.

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Presentation on theme: "Evaluation of automated bay irrigation Rod Smith, Jasim Uddin, Malcolm Gillies – NCEA Peter Moller, Kevin Clurey – Rubicon Water."— Presentation transcript:

1 Evaluation of automated bay irrigation Rod Smith, Jasim Uddin, Malcolm Gillies – NCEA Peter Moller, Kevin Clurey – Rubicon Water

2 Trial Sites 10 Bay irrigated dairy farms in northern Victoria automated with Rubicon ‘Farm Connect’ systems 1 bay per farm X multiple irrigations Irrigations carried out by farmer using usual management

3 Fully automated bay irrigated dairy farm Zigbee radio communication within farm

4 Channel control gate

5 Bay gates

6 Pipe and riser system

7 Data used in evaluation Flow rate – measured at Rubicon ‘Smart Meter Gateway’ at farm inlet Advance time and flow depths – measured by Rubicon ‘FloodTech’ sensors at various locations down the bay Soil moisture deficit – from moisture probe or ET estimates

8 FloodTech flow depth sensor Mean Ground Surface Level

9 Process: Simulation model (SISCO) calibrated using measured data, that is, the bay infiltration characteristic and the flow resistance provided by the crop or pasture determined by finding best fit between model prediction and measured advance & depths Use SISCO to simulate the irrigation and calculate the performance parameters, ie to give:  Application and requirement efficiencies  Depth of water that has infiltrated  Volume of runoff  Deep percolation loss

10 Calibration of SISCO – advance data

11 Calibration of SISCO – depth data

12 Summary of irrigation performance FarmCropEa % Er % Runoff % Deep Perc % GrPerm pasture InvSoybean LlLucerne MinPerm pasture PLucerne9970*-- QLucerne9981*-- RPerm pasture * Advance did not reach end of field

13 Combination of high flow rate, accurate selection of duration (Tco), & consistent scheduling gave: High efficiency Minimal deep drainage & runoff Example 1 – High performance irrigator

14 Soil moisture

15 Depth infiltrated

16 Example 2 – Lesser performance

17  soil moisture = 15 mm  ETo = 85 mm Depth infiltrated = 44 mm Example 3 – Interpretation?

18 Minimising uncertainty Accurate & sufficient data Multiple irrigations – consistent results Ground truthing observations


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