Tanjuro Goto

Papers

Total Citations

H-Index

About

Tanjuro Goto is a pioneering researcher in agricultural robotics and precision horticulture, with a focus on intelligent automation for specialty crops. His most cited work, "Development of Mobile Eggplant Grading Robot for Dynamic In-field Variability Sensing" (2008, 9 citations), introduces a machine vision-based mobile robot that integrates a battery railcar, manipulator, and end-effector to autonomously grade eggplants while logging essential field data for precision farming and crop traceability. This contribution addresses critical challenges in dynamic in-field variability sensing, enabling real-time quality assessment and data-driven management of agricultural systems. Goto’s research bridges robotics, computer vision, and horticulture, advancing the practical deployment of automated grading systems that enhance efficiency and reduce labor dependency. His work has laid foundational concepts for mobile agricultural robots, influencing subsequent studies in precision agriculture and postharvest technology. Though citation counts are modest, the novelty of his approach—combining mobility, grading, and traceability in a single platform—marks a significant step toward sustainable, technology-driven farming. Goto’s achievements underscore his role in shaping the future of smart agriculture, making his research essential reading for students and engineers exploring robotic solutions for crop production and quality control.