Our AI-powered greenhouse has achieved breakthrough yield, fruit quality, and energy efficiency!
We are now working with greenhouse owners in the US, Canada and Europe to help them increase revenue, minimise costs, and accelerate expansion.
https://t.co/f4ZFJ4VLGo
The Optimal AI team enjoying the view from our new office in London! This location puts us at the centre of AI tech in Europe, whilst being a Eurostar away from our R&D greenhouse in the Netherlands.
Great to show Anneke, CCO of GreenV, around
@OptimalAg's #AI powered greenhouse in the Netherlands. GreenV is an internationally operating group of horticulture suppliers, active in greenhouse projects around the world. We look forward to further working together with GreenV.
“SaaS won’t save the planet” - The next decade belongs to software meeting the physical world.
Article by @Siftedeu about how @OptimalAg is solving food security with AI.
https://t.co/LQe5rxxVa7
Missed the last ZERO?
👉 The keynote featuring David Hunter from @OptimalAg is online now! Learn more about how Optimal Agriculture plans on deploying AI-operated greenhouses outside every city on earth.
https://t.co/rS9I412OEB
As DFT put it: "Without control systems there could be no manufacturing, no vehicles, no computers, no regulated environment—in short, no technology."
https://t.co/Fw4E2rH4bJ
Control systems are the common technological thread between manipulating plasma in fusion reactors, integrating renewables into the grid, and producing food in industrial greenhouses. It's hidden tech that enables our modern world.
This is just one of the many ways we are developing technology to enable us to operate autonomous, sustainable greenhouses outside every city on Earth. For more information and to see our open roles: https://t.co/TQYyLPuLJn
Did you know that agriculture accounts for over 70% of the world's water consumption? But climate change and increasing populations are putting severe pressure on water supplies. We are seeing crops around the world failing, or not being planted at all, due to a lack of water.
We’re using predictive models of the crop to try to improve on this even further. By matching the supply and demand of water we hope to minimise waste whilst maximising the yields of our crops.