Selwin Hageraats

Selwin Hageraats is a Researcher at Wageningen University & Research, specializing in Robotics and Automation within greenhouse horticulture. His work focuses on integrating computer vision, digital twin technology, and automated phenotyping to optimize crop cultivation.

Research Interests

His research spans agricultural robotics, digital agriculture, and plant science, with specific contributions to:

• Autonomous farming platforms and precision horticulture
• Computer vision for crop monitoring and phenotyping
• Digital twin applications in tomato cultivation
• Non-invasive measurement techniques for plant physiology
• Deep learning and sensor fusion in agricultural systems
• Technological solutions for greenhouse pest and disease detection

Research Output

Active in developing automated systems for tomato growth analysis and perennial ryegrass phenotyping, Hageraats has pioneered camera-based parameter tracking and mobile segmentation algorithms. His work bridges theoretical models with practical greenhouse automation, emphasizing data-driven cultivation strategies.