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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.

Cultivation variables explained: growing degree units

In this blog, we would like to tell you something about growing degree units (GDH / GDD). The reason we added this to our dashboard is that during a lot of conversations our users often ask for this. Degree hour insights are used to pro-actively control cultivation. Growers however indicate that the calculation is time-consuming ...
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Autonomous growing is no longer a far-fetched dream

The Autonomous Greenhouse Challenge has come to an end and we made it to the finish line. Our multidisciplinary team of horticultural experts and computer scientists from Delphy and 30MHz grew healthy cherry tomatoes remotely in 6 month’s time. In this period, we were able to develop the system and models needed to control a ...
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From scale-up to full-fledged company

30MHz has grown considerably in recent years. We have become a stable and reliable player in the horticultural sector. As a small start-up, we built the first foundations of our current data platform in 2015. Such as the cloud structures needed to store large amounts of crop data and make them available for analysis. Even ...
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