Introduction
Digital data cultivation, analysis and automation are the future of the greenhouse. Artificial intelligence (AI) and data science will result in game-changing efficiencies and yield improvements. But what exactly are these technologies, how do they work and how can you, as a grower, actually make use of them?
What to expect from this trendpaper?
In this trendpaper, Gursel Karacor, Senior Data Scientist at Grodan, zooms in on:
According to Karacor, AI, and its subsets, which include machine and deep learning, supported by imaging and automatization (robots) can automate much of the insight gathering and decision making for better predictions, recommendations and forecasting. Much of the work and data collection, like crop planting, registration and harvesting, being executed in greenhouses is currently still performed manually. This is tedious and time consuming work, prone to errors and inefficiencies. Want to learn more about this topic? Download the whitepaper on this page.
Data science and AI technologies present us with so many opportunities to collect and mine data in the greenhouse. This paper will help you begin your journey to get the best out of your greenhouse data. There’s a bright future ahead!
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