1. 1 Post PC Irrigation Sensor Post PC Computing, HUJI 2001 Lecturer: Prof. Scott Kirkpatrick Presented by Ami Serri-Menkes

2. 2 Overview Introduction Critical Tasks Technology Requirements Usability Issues Conclusion

3. 3 Current Needs Water Conservation Energy Conservation Green Areas: Agriculture Horticulture Nature Reserves

4. 4 Project Goals Low Power Irrigation Controller Smart Sensor Input Weather Forecast Input

5. 5 Description Solar Irrigation Computer Smart Sensors: Solar Panel Tensiometer - ‘Artificial Root’ Solenoids – Electric Valves Future: Internet Weather Forecast

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7. 7 Competitive Analysis Competitors –Manual Irrigation –Timer-based Irrigation Strengths –Water Use Efficiency Weaknesses –Price of Connectivity, Components

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14. 14 Technology Requirements Power Budget: –9V battery: 5.085 WHr –Solar panel: 12-30WHr/Day Power Consumption: –1 Solenoid: 14mWHr/Day –4 Solenoids: 64mWHr/Day. –CPU+Display: 7mWHr/Day –Tensiometer: 3mWHr/Day. –Cellular: 25mWHr/Day (listen mode) Total: 100mWHr/Day

15. 15 Data Integration Time-based to Tension-based Depends on Plants, Soil Type => Calibration:min,max

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17. 17 User Testing (video clip)

18. 18 Usability Issues 3 Modes: Sensor,Auto-run/off,Manual =>2 Modes: Sensor, Manual On/Off buttons confusing =>STN button or new Mode button

19. 19 Future Work Component and Data Integration Cellular Connectivity (SMS?) New Sensors (LeafSense) Usability

20. 20 Conclusion Present: Prototype (non cellular) Future: Connected Energy, Water, Fertilizer Savings Time Savings

21. 21 What We Learned How to Develop Ideas Technical Analysis User Testing Solar Power Irrigation

22. 22 Thanks Prof. Scott Kirkpatrick, HUJI Ilan Porat, Rotem Heiner Lieth, Loren Oki, UC Davis Post PC students

23. 23 Related Web Sites www.tipa.gov.il lieth.ucdavis.edu www.bermad.com www.earthsystemssolutions.com

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25. 25 Questions/Remarks