Xin Wang

Xin Wang is an External employee in the department of Agricultural Biosystems Engineering at Wageningen University & Research. Their research focuses on advancing robotics, computer vision, and machine learning applications in precision agriculture. Key areas include plant node tracking, 3D plant reconstruction, and agricultural automation systems. Recent work emphasizes multi-view active vision, self-supervised learning algorithms, and semantic-guided robotics for crop analysis.

Research projects include the FlexCRAFT PostDoc initiative, where Wang serves as Principal Investigator. Their contributions span datasets such as 3D tomato peduncle pose estimation and genome sequencing projects. Collaborations involve interdisciplinary teams focusing on agricultural robotics and plant biology, with a strong emphasis on practical applications in greenhouse and orchard environments.

Publications highlight advancements in object tracking, next-best-view planning, and machine learning-driven solutions for agricultural challenges like combine harvester optimization and crop ripeness detection. Their work bridges theoretical computer vision techniques with real-world agricultural engineering problems.