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PLATFORM OVERVIEW

The Earthstream Platform starts at the source. Earthstream devices provide a direct link to the Earth by gathering real-time and remote sensing analytics. Each device is a wireless, solar-powered, sensor hub packed with state-of-the-art technology. You simply plant it in the ground, download the Mesur.io application, and start gathering insight so you can get on with your day. The platform also integrates with other devices and data streams.

Earthstream helps you think and act on what you can't directly see.

  • Accurate in-ground soil moisuture and temperature

  • Location specific ET and Growing Degree Days (GDD)

  • Canopy level weather and light

  • Real-time and historical pump house volume & pressure

  • Integration capability with drone, business & labor data

 

HOW DOES EARTHSTREAM WORK?

Gathers direct and remote data from multiple sources

 

Integrates and fuses the data into a coherent, customized model

 

Continuously updates the data in real-time and provides recommendations

 

Synthesizes data into human-centered visualizations for actionable insight

 

 

HOW DOES IT HELP FARMERS AND RANCHERS?

The Earthstream Platform enables regenerative agriculture for farmers and ranchers through the use of technology. While each sensor hub is useful on its own, combining multiple devices provides a complete picture of your farm so you know what the Earth is telling you, what to do and when, saving you time, money, and resources.

GROUND SENSING

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Soil moisture has decreased by 9% 

WATER MANAGEMENT

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You used 185 gallons of water today

ACTIVITY TRACKING

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Your livestock has grazed 15 acres this week

 

PUT THE EARTH IN YOUR POCKET

THE APPLICATION AT A GLANCE

  • Fully integrated application across all devices

  • Single-point solution for all of your data needs

  • Analytics dashboard tailored to you and your team

  • Automated insights and alerts

 
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  • In-ground sensor readings fused with real-time weather updates

  • Seamless integration and automation of internal and external data sources