Hidehito Kurosaki

Institute of Vegetable and Floriculture Science

Papers

Total Citations

H-Index

About

Hidehito Kurosaki has made foundational contributions to precision agriculture and robotic harvesting systems, with a focus on greenhouse environments. His research centers on sensor-based positioning, machine vision, and automation for horticultural tasks, particularly in large-scale tomato production. Kurosaki’s most cited work, “Design of Self-calibration Method for Sound-based Positioning System in Greenhouse” (2013, 6 citations), introduced an innovative approach to autonomous localization in complex greenhouse settings, addressing a critical challenge for robotic navigation. His earlier study, “Machine vision system for detecting tomato fruits” (2010, 2 citations), laid groundwork for vision-guided harvesting by developing algorithms to identify ripe fruits amidst foliage—a key step toward reducing labor-intensive manual harvesting in Japan’s expanding large-scale greenhouse industry. Though his citation counts are modest, Kurosaki’s contributions are notable for their practical relevance to agricultural robotics, bridging sensor calibration and image processing to enable more efficient, automated crop management. His work continues to inform researchers developing robust, field-deployable systems for precision agriculture.