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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
l
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: