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Motorleaf reveals AI driven Tomato Yield Prediction solution
Motorleaf has been in private BETA with one of the largest tomato producers in North America for a number of months. Both companies wish to use new technology to solve old problems in regards to yield prediction.
Through shared collaboration, Motorleaf was able to utilize the greenhouse's historical data, to help create a custom algorithm, to model yield prediction for its tomato production. "With the algorithm still in the process of becoming more refined via Motorleaf's on site hardware- the results are surprising", said a source within the company.
So far the results that Motorleaf can publicly report, show that their AI/Machine Learning is on track to make a significant difference to how a producer can forecast its anticipated yield, weeks into the future. "Modeling shows an error rate of 6%, compared to current methods which can range as high as 25% for the same time period."
Last Monday September 11, Motorleaf was picked as a showcase company to represent Canada at the LARTA Ag Innovation Showcase. More detailed results were shown to the invite only audience, and remain hush hush for the time being.
Motorleaf's CoFounder/CEO Alastair Monk said this on their new results: 'Motorleaf is a software company that just so happens to have built hardware to improve the performance of its software. Being based in Montreal gives us access to some of the top data scientists around, as well as access to plant scientists from the talent coming from McGill University. We're actually really surprised in the gains in accuracy we've seen -but wish to conduct more live trials before we make any further public claims - which we hope will be in the upcoming month or two. Our software is called agronomist.ai - not because we wish to replace staff in the greenhouse, but because a virtual assistant giving insights the human brain couldn't possibly deliver via a human (or humans) gives businesses a competitive edge - and when margins go up and down based on weather and other factors out of the greenhouses control - an edge is always worth investing in."
For further info on greenhouse yield predictions, or to ask about joining the closed BETA program - please contact monk@motorleaf.com
Through shared collaboration, Motorleaf was able to utilize the greenhouse's historical data, to help create a custom algorithm, to model yield prediction for its tomato production. "With the algorithm still in the process of becoming more refined via Motorleaf's on site hardware- the results are surprising", said a source within the company.
So far the results that Motorleaf can publicly report, show that their AI/Machine Learning is on track to make a significant difference to how a producer can forecast its anticipated yield, weeks into the future. "Modeling shows an error rate of 6%, compared to current methods which can range as high as 25% for the same time period."
Last Monday September 11, Motorleaf was picked as a showcase company to represent Canada at the LARTA Ag Innovation Showcase. More detailed results were shown to the invite only audience, and remain hush hush for the time being.
Motorleaf's CoFounder/CEO Alastair Monk said this on their new results: 'Motorleaf is a software company that just so happens to have built hardware to improve the performance of its software. Being based in Montreal gives us access to some of the top data scientists around, as well as access to plant scientists from the talent coming from McGill University. We're actually really surprised in the gains in accuracy we've seen -but wish to conduct more live trials before we make any further public claims - which we hope will be in the upcoming month or two. Our software is called agronomist.ai - not because we wish to replace staff in the greenhouse, but because a virtual assistant giving insights the human brain couldn't possibly deliver via a human (or humans) gives businesses a competitive edge - and when margins go up and down based on weather and other factors out of the greenhouses control - an edge is always worth investing in."
For further info on greenhouse yield predictions, or to ask about joining the closed BETA program - please contact monk@motorleaf.com
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