DryWaterSmart Green Areas Watering

#Sigfox #Azure #TI #Fujitsu #RunMyProcess #Cloud #MachineLearning #BigData #IoT #SaveTheWorld

#SmartCities #SanFrancisco

California's Drought is a big issue. Soon, people will face major water restrictions because we’ll run out of options.

What if we could turn on the sprinklers only when it’s necessary, based on current metrics (weather, humidity, temperature), forecasts, and machine learning?

SAn Francisco County

Optimize field watering depending on plant type and environmental events.

Automatic sprinklers water San Francisco public green areas.

High-Level Architecture

Connected Valves

Connected Green Pens

Local- T°- Humidity

Nearby- T°- Humidity

5days forecast- T°- Humidity

Q: Data history & forecast + should I water right now?

Machine learning

A: “Sure, go ahead” OR “Not right now”

“Open the valves for X minutes”

DEMO 3 implemented cases:

(1) sensor in glass of water (wet)

=> don’t water

(2) sensor in plant (normal)

=> water +

(3) sensor on the table (dry)

=> water ++Green pensprinkler

RunMyProcess MongoDB & Dashboard

DryWater Team

Pascal: Software hacker

Julien: Hard/Software hacker

Pierre: Hardware hacker

Nicolas: Software hacker

High-Level Architecture

Connected Valves

Connected Green Pens

Local- T°- Humidity

Nearby- T°- Humidity

5days forecast- T°- Humidity

Q: Data history & forecast + should I water right now?

Machine learning

A: “Sure, go ahead” OR “Not right now”

“Open the valves for X minutes”

THE END