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Produce temperature protection with crop-level data

August 15, 2018

In the world of produce, temperature is critical.
Awareness of temperature changes can be the difference between a quality product, and a heat-damaged one. The implications run deep: health and safety, profits and supplier reputation are all on the line– and supermarket demand for quality produce is only increasing.

With the right data, agribusinesses can make informed decisions about which products to consume early in a production cycle, and which to leave in stock to make sure the very best products reach customers at the right time.

See also: Who are you giving your future (agri)data to?

With granular real-time data from 30MHz, the Consus Fresh Produce Temperature Protection System makes it easy to remotely view the temperature status of any pallet, and set custom proactive notifications to monitor shelf life, and know when a product is at risk.

Want to know more about our work with Consus Fresh? Get in touch below.

Want to know more about data integrations with our API? Take a look here.

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.
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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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