Background
Artificial Intelligence (AI) in plant research
How can artificial intelligence (AI) transform plant research? AI offers opportunities for faster analyses and new insights, but also raises questions about data and ethics. Discover how the experts at Wageningen Plant Research are using AI to advance sustainable agriculture.
Fewer humans, more AI: is this the future of agriculture and horticulture?
Bram Veldhuisen and Anja Dieleman are involved in the development and implementation of smart AI technologies. We asked them about promising solutions, the hurdles to overcome and the potential risks. Read more on AI in agriculture and horticulture.
Even if we can’t control a greenhouse completely autonomously, our research helps to improve greenhouse cultivation.
AI behind major transitions in the agriculture sector
Read everything about the role that big data and AI can play in sustainable solutions for the horticulture and agriculture sector, for example through precision agriculture, digital twins and vertical farming.
AI algorithms can accurately chart crop growth and determine exactly how much water, fertiliser or plant protection products are needed per square metre, or even per plant.
New chair group Artificial Intelligence
The brand new chair group Artificial Intelligence highlights the growing importance of AI for WUR. Chair Ioannis Athanasiadis: “AI offers great opportunities, it is up to us as humans to decide how best to exploit them.” Read everything about AI as a driver of agricultural transition.
You can devise much better AI solutions when you work within a multidisciplinary team. Fortunately, WUR has a lot of experience with that.
Everything on the Autonomous Greenhouse Challenge
Five teams from across the globe embarked on the 4th Autonomous Greenhouse Challenge. The task? To cultivate dwarf tomatoes completely autonomously. Now the results are in: which team emerged victorious? Read everything about the challenge!
With the Autonomous Greenhouse Challenge, we’ve demonstrated that cultivation can be fully autonomous. Of course, there are still many challenges and areas for improvement, but we now have proof that it’s possible to complete a growing cycle with an algorithm.