Matthew Peebles
Papers
2
Total Citations
11
H-Index
2
About
Matthew Peebles is a researcher at the forefront of agricultural robotics, specializing in precision automation for specialty crop harvesting. His work centers on developing advanced sensor technologies and localization strategies to address critical labor shortages in agriculture. Peebles’s primary contribution lies in the application of time-of-flight (ToF) imaging for 3D crop detection, a field where he has established foundational methodologies. His most cited work, "Overview of Sensor Technologies Used for 3D Localization of Asparagus Spears for Robotic Harvesting" (2018), provides a comprehensive survey that has become a key reference for researchers tackling the challenges of automated harvesting in unstructured field environments. Building on this, his 2024 paper, "Localization of asparagus spears using time-of-flight imaging for robotic harvesting," demonstrates a practical, point-cloud-based system that advances the state of the art in real-time crop identification. While his citation counts (8 and 3, respectively) reflect a niche but growing field, Peebles’s work is notable for its direct impact on solving a real-world agricultural bottleneck, bridging the gap between computer vision and practical robotics. His research is essential reading for students and engineers working on sensor-driven automation in agriculture.
Research Focus
Key Achievements
Top Papers
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- 2