In-platform collaboration can tackle industry-wide challenges
April 10, 2019
Here’s what we believe: to serve the horticultural sector well, an agridata platform needs to make comparing locations easy– whether those locations are down the road, across the country, or across the globe.
If you follow us on social media, you’re likely to have seen photos from a whole range of greenhouses and indoor farms working with 30MHz. From Scotland to Saudi Arabia, the American southwest to South America, Southeast Asia to Africa and Australia, we’re watching new agribusinesses come online daily. Many of them are brand new customers (we’re well in the 200’s now), some are additional locations of existing customers, and many come based on recommendations from within our community of growers.
Crop consistency is a must– data can help
Mapping the relationships between all the points on the 30MHz map of the world would yield an intricate web. Some are the same business in multiple locations, others grow for the same organisation, and others are different parts of the same chain. But there’s one thing all these customers have in common: however they might work together, and however far apart they might be, they prioritise crop consistency. When we chat about goals and expectations for their crop data, we hear time and again that our customers need consistent, uniform crops across their grow rooms, greenhouses and vertical farm locations. That’s where a variety of key metrics– and the ability to collaborate in real-time– becomes a game changer.
Going beyond monitoring for top quality crops
Every agribusiness has a slightly different recipe for success, based on the unique challenges it faces. But we’ve found that certain elements are crucial across the board: a solid approach to pest and disease management, a good understanding of microclimate, and an evidence-based irrigation strategy are just a few among them. But growers tell us it’s not just readings on CO2, temperature, humidity, light intensity, soil moisture, VPD, dewpoint, sap flow, stem diameter (we can go on…) that go into crafting a replicable and proactive approach to their crops. It’s the insights on their interaction and effect– past, present and future. To get the most applicableinformation from their data, 30MHz customers have the opportunity to leverage the experience and expertise of colleagues and peers whether they’re in the next grow room, across the country, or across the globe.
We’ve seen growers at Pinata Farms in Australia use the ZENSIE platform’s collaboration features to streamline the exchange of information with UK-based berry growers. We’ve seen Haakman Farms share real-time insights on breeding conditions between the Netherlands and Russia. And we’re thrilled to be part of the Royal General Bulb Growers’ Association (KAVB)’s “measure and monitor” pilot, aimed at bringing more transparency and data exchange to the bulb storage sector.
Interactive comments on graphs, and the ability to tailor what data is shared with custom permissions make it easy to collaborate and innovate to tackle industry-wide challenges. A collaborative platform can help turn local insights into global solutions across agricultural sectors.
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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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 ... Read more
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 ... Read more