From crop expertise to data-driven cultivation management
This session explores the science of crop modeling and its practical application in data-driven crop management. We’ll cover usable growth models and how growers can benefit from them by improving decision-making and enhancing crop management efficiency.
Speakers
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Passionate about plant physiology and modelling. I leverage my expertise to further evolve the domain of digital twins in decision support and autonomous growing. Reach out if you would like to get in touch on greentech.
I am George (Qingzhuo) Qi, an incoming PhD candidate at Wageningen University & Research, working with Demeter42. My goal is to bridge the gap between greenhouse modeling in research and the practical challenges of greenhouse cultivation. I leverage the power of AI and digital twins to provide growers with optimized decision-making in greenhouse crop management.
My name is Max van den Hemel. I am working as a Cultivation Engineer within Team Delphy Digital. My focus is on high-tech greenhouse vegetables and I bridge the three domains in digitalisation: green knowledge, data science and software development.
