Together towards Data-driven Horticulture
In this session, we share how crop, substrate, and climate data, combined with intelligent algorithms and growers’ expertise—are opening new opportunities for reliable, data‑driven cultivation. Join us to gain insights that can help strengthen future innovations and solutions in horticulture.
Speakers
Since 2000, Anja Dieleman works as a (senior) scientist at the business unit Greenhouse Horticulture of Wageningen University & Research. With greenhouse crop physiology as her main application field, her research interests are the effects of greenhouse climate factors (light, CO2, temperature) and cropping systems on crop growth and development, including underlying processes like photosynthesis and transpiration. Recently, she has been working on the design of energy efficient LED based production systems, plant monitoring systems and effects of spectral composition of the light on plant growth, development and morphology. Since 2020, she is also working on the development of autonomous greenhouse cultivation systems. This research is done in close collaboration with greenhouse growers, (international) horticultural supply companies and national government.
Stef Maree (PhD), is programme manager Autonomous Cultivation at Wageningen Research. He focusses on bringing the latest development from the fields of Artificial Intelligence and Machine Learning into agriculture, helping growers to grow more sustainably and making healthy food available worldwide.
