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About

Yuval Cohen is a researcher specializing in agricultural robotics, precision horticulture, and human-robot coordination, with a particular focus on date palm cultivation and automation. His work bridges the gap between biological agricultural challenges and cutting-edge technological solutions, making him a distinctive voice in the field of smart farming. Cohen's most significant contributions center on the automation of Medjoul (Medjool) date thinning — a labor-intensive process critical to fruit quality. His research encompasses the full pipeline of robotic automation, from computer vision techniques for fruit bunch segmentation and motion parameter estimation to the generation of synthetic training datasets using 3D modeling and Bézier curves. His 2016 work on date palm fertilization and fruit setting, his most cited publication with 12 citations, established foundational biological context that informs his later engineering solutions. A particularly notable contribution is his integration of function allocation methodologies with operational event sequence diagrams to guide human-robot coordination in agricultural settings — work that acknowledges the continued importance of human operators alongside robotic systems. With a growing body of publications accumulating over 27 citations collectively, Cohen's research is carving a meaningful niche in precision agriculture, offering practical pathways toward scalable, intelligent automation in specialty crop production.