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Automated, Precise Harvest Yield Forecasts Using the Latest Greenhouse Technology

September 13, 2018 1:33:30 PM EDT
 

Predicting the harvest yield of vegetables in commercial hydroponic greenhouses today is a time consuming and inaccurate, manual process. Weekly estimates for tomato yields, for instance, are often over or under the actual yield by 20% or more; errors are often worse for peppers. Your Grow Team spends between one to three days a week making harvest forecasts.

Case Study: SunSelect 

January 30, 2018 11:26:55 AM EST
 

The Client

Artificial-Intelligence Powered Digital Agronomy

January 10, 2018 8:45:00 AM EST
 

 

Automation, Artificial Intelligence and Cannabis: A Tale of Three Friends?

November 29, 2017 10:25:53 AM EST
 

Tatiana Shepeleva/123RF

Alastair Monk, Motorleaf CEO, publishes a guest column for the Cannabis Business Times. In this article, he discusses how machine learning and artificial intelligence can have a big impact in the agricultural space.

The Importance of Your Narrative - What Do You Really DO as a Company?

November 14, 2017 9:40:03 AM EST
 
There is a fairly good chance only my wife, 2 of my employees and perhaps a curious stranger will read this late night bit of writing. I may not care - as this may just serve as a written reminder to myself as to the importance of WHAT our company actually does, and why it's important to know the essence of this for all those conversations with investors, potential hires, potential customers and maybe even potential acquirers of our company... (everyone can dream - right?)

I mean - any tech company CEO should know what they're doing / why they're doing it - it's fairly simple, right?

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