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Your data is ready for its close-up

January 10, 2019

Well, it’s the start of a new year and we’re already zoomin’ through product updates.

First on the list: data zoom.

You can never get too granular with data exploration, so to make things a bit more detailed and easy to explore, we’ve added a feature to let you dive further into a set of data points in charts.

Simply click into your chart, click on the starting point you want to zoom into, hold down your mouse, and drag to your desired end point. Let go, and you’ll be forwarded to the zoomed view of your data.

It’s that simple.

Any questions? Ask away, we’re here to help.

How can we help you digitise your cultivation process?
Analyse all kinds of information from different data sources such as climate computers, sensors and manual input in a central platform. Improve the production process of your crops, plants, seeds or bulbs together with advisors, distributors and researchers. We are happy to talk to you about which service model is most suitable for your company.
  • Please specify your needs here.

Why we made some changes to customer support

To serve our users in the best possible way, we have changed a number of things with regard to our customer support. Our account managers are no longer the central point of contact for questions. We’ve set up an online FAQ, and assembled a special team that is ready to answer questions within 48 hours. ...
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5 digital horticulture practices to bring into 2020

In the past decade we’ve seen the world go through a major digital transformation. And it’s still going strong, with innovations piling up in all industries including the horticulture sector. We do believe there’s still a lot of untapped potential when it comes to digital horticulture. What happens when horticulture goes digital and where do ...
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Teaming up with Amazon Web Services

We’re participating in the autonomous greenhouse challenge: growing tomatoes without entering the greenhouse. We’re managing the greenhouse from behind our laptops, and have to guide our decisions based on the real-time data we receive from the indoor climate, outside conditions and weather forecasts. To be able to do this we’ve been developing multiple machine learning ...
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