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damage from foundation damage, soil erosion,

mold and premature death of mature trees. The

aim of this project is to save money and time by

avoiding overwatering.

Three research issues which are envisioned in

this project include system (i) data mining –

design an algorithm that accurately maps the

color-coded radar map to expected amount

of rainfall expected at a specified location in

a given time interval, (ii) data aggregation –

design an algorithm to integrate the information

gathered from multiple sources (rain forecast,

weather and soil-related sensor measurements,

Water conservation is a crucial part of green

technology. It is well known that landscape

watering consumes more than half of

urban water usage, and that landscapes are

considerably overwatered. In addition, there is

a steady rise in water rates across the country.

However, more than just the cost of water

usage, an additional cost of overwatering

results from property destruction, water

runoff, and liabilities. Ordinary irrigation

systems typically cannot adjust to changing

weather conditions and generally overwaters

the landscape, leaving the property owner

with high water bills and expensive property

Campus 2020: Smart Sprinkler System

Valentine Aalo and Daniel Raviv, PIs


Students: Henley Wright, Richard Bagley, Patrick Green

and Tsahi Strulovitch

4 4

p ro j e ct 8B

local water-restriction information, and past

rain history to decide when and how much

to water, and (iii) data communication -

communicate the control information via Wi-Fi

to the sprinkler system at the location., which is

specified by the zip code + 4 digits.

The main objective of this project is to design

a commercially viable, smart sprinkler system

that can be controlled and monitored via the

internet. The final product is expected to save

water, time, and energy: