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Practical IoT: optimizing the production line with sensor data

April 05, 2017

Netherlands-based Pop Vriend Seeds is one of the leading breeders of spinach, bean and sweet corn varieties for the global fresh food market and the processed food industry. Seeds from Pop Vriend find their way to buyers in over 120 countries.

Challenge

Ensuring optimal output and efficient conveyor belt usage at the Pop Vriend seed processing facility.

Using sensor data to optimize the production line

Pop Vriend Seeds use a conveyor belt counting sensor and the 30MHz analytics platform to optimize production lines. The sensor counts every passing bag, while the ZENSIE dashboard displays data for various dates and times.

Meet the 30MHz Sensor Toolkit

Choose a combination of sensors to capture the metrics you need, and get real-time alerts and analytics from your environment on desktop, mobile or tablet. Get set up without IT involvement. All you need is a wifi connection, and a few moments to deploy.

Meet our sensors

Learn about analytics dashboard

What’s your challenge?

Make better decisions with data. The right combination of sensors can provide business intelligence to cut costs, drive productivity and increase profit. Let’s talk about how sensor data can solve your business challenge.

  • Describe your issue as elaborate as possible.
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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Exchanging digital data creates new dynamics

 Originally published on VAKBLAD ONDER GLAS | 15 juli 2020 Nicknamed Industry 4.0, greenhouse horticulture is undergoing a lot of innovation. Automation is taking giant steps, mainly through sensors and better communication technology. Professor of Horticulture Innovation Jan van den Ende and his students conduct research into data exchange between companies in the chain. Cultivation supervisor ...
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