Mark Seelye

Papers

Total Citations

H-Index

About

Mark Seelye is a researcher at the intersection of robotics and plant science, pioneering automated systems for monitoring plant health. His key research areas include low-cost sensor development, robotic manipulation, and computer vision for biological applications. Seelye’s major contribution is the design and fabrication of custom robotic arms and sensor systems that autonomously monitor plant tissue growth in micropropagation environments. His most cited work, "Low cost colour sensors for monitoring plant growth in a laboratory" (2011, 35 citations), introduced an innovative system using a robotic arm with a pan-tilt-mounted sensor to measure leaf colour as a health indicator. This work, developed in collaboration with the New Zealand Institute for Plant & Food Research Limited, demonstrates a practical, low-cost approach to precision agriculture. His subsequent publications, including "Robotic Systems - Applications, Control and Programming" (2012, 25 citations) and "Camera-in-hand robotic system for remote monitoring of plant growth in a laboratory" (2010, 9 citations), further advanced remote monitoring capabilities using lightweight, servo-driven arms. Seelye’s work is notable for its direct application to improving plant tissue culture efficiency, bridging engineering and biology to create scalable solutions for laboratory and potentially field-based plant health assessment.