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We Grow Live

Collaborative Community for the Growing Industry

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Infrastructure

Introduction to We Grow Live

The next generation of automated greenhousing

We Grow Live Logo
We Grow Live Logo

We Grow Live has created an automated greenhouse that can be monitored and controlled in real time.

Capturing the data from the grow operation and having the output(s) analyzed by a cognitive computing system will build a foundation for machine learning.

This will allow for optimal nutritional value and maximum plant growth.

This information can also be used to create a predictive growth chart for future growing projects.


  • runway for Wegrow.live
    Progress – March 2, 2017
  • MIT-OpenAg Community
    Community
  • Video of Time Lapse Sunflower Growth
    Live Monitoring
  • Open Garden | Indoor Node
    Components
  • 40 ft HighCube
    The Build
  • MIT foodcomputer recipe ux
    Building a Recipe
  • watson ibm supercomputer
    Cognitive Computation
  • workflow predicts whole plant and individual organ growth data Input
    Predictive
  • Neural network example
    Aggregate
  • AEMC (Advanced Environmental Monitoring and Control)
    Differentiators

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Areas of Interest

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    Wageningen University teams up with Microsoft, Tencent, and Intel to test Artificial Intelligence for growing Cucumbers

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    Do Endophytes Promote Growth of Host Plants Under Stress?

    February 4, 2018
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    Diazotrophic Endophytes of Poplar and Willow for Growth Promotion of Rice Plants in Nitrogen-Limited Conditions

    February 4, 2018
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    Growing Food in Space

    June 5, 2017
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    Steroids Triterpenoids Molecular Oxygen

    May 11, 2017

Categories

  • Air Quality (2)
  • Cognitive Computation (2)
  • Community (1)
  • Food Growth (2)
  • Fungus (1)
  • Future Medicine (3)
  • Genetics (1)
  • Geoponics (3)
  • Growing Food in Space (1)
  • Infrastructure (12)
  • Lettuce (1)
  • Live Monitoring (1)
  • Plants (3)
  • Predictive (2)
  • Project Scope (8)
  • Research (9)
  • Soil Quality (3)
  • telomerase gene therapy (1)
  • Types of Automated Units (4)

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