Rebecca Strawbridge

California State University, Channel Islands

Papers

Total Citations

H-Index

About

Rebecca Strawbridge is a researcher whose work sits at the intersection of agricultural robotics and computer vision. Her primary research area focuses on developing automated visual systems for fruit harvesting, with a particular emphasis on strawberry detection and stem localization. Her most cited work, "Minimal Geometric Representation and Strawberry Stem Detection" (2013), introduces a novel algorithm based on the Blum medial axis that can identify a strawberry's stem from a berry image, outputting a precise bounding box with minimal geometric data. This contribution represents a critical step toward creating a fully automated strawberry harvester, addressing one of the most challenging problems in agricultural robotics: reliably distinguishing the stem from the fruit for damage-free picking. While her citation count of 5 reflects a specialized, early-career contribution, the work's practical implications for reducing labor costs and improving harvesting efficiency in berry farming are significant. Strawbridge's research demonstrates how geometric algorithms can be applied to real-world agricultural challenges, making her a notable contributor to the growing field of precision agriculture and robotic fruit harvesting.