Max Robotics — Global Service Robot Directory + US Certification

About

Junhua Tong is a prominent agricultural robotics researcher whose work sits at the intersection of automation, machine vision, and precision harvesting technologies. With a career spanning over a decade, Tong has made significant contributions to two core domains: robotic harvesting systems and automated seedling transplantation. His most celebrated work — a robotic tea-plucking system published in 2023 — has already garnered 60 citations, reflecting the urgent global demand for automation in labor-intensive tea cultivation. Complementing this, his 2024 multi-species tea bud detection model (DMT) advances the visual intelligence needed to identify premium "Famous Tea" quality buds across seasons. Tong's earlier research into apple-picking biomechanics (2014) demonstrated his commitment to grounding robotic design in human behavioral data, informing end-effector development. His parallel contributions to greenhouse transplanting robotics — including machine vision-guided seedling health evaluation and parallel robot motion control — have collectively shaped modern plug seedling automation. His 2012 foundational work on vision-based transplanting systems helped establish early frameworks still referenced today. Across more than 130 cumulative citations, Tong's research continues to drive meaningful progress toward solving agricultural labor shortages through intelligent robotic systems.