Hideyuki Yoshihiro

Papers

Total Citations

H-Index

About

Hideyuki Yoshihiro’s research lies at the intersection of precision agriculture, artificial intelligence, and sustainable crop management, with a particular focus on high-value specialty crops. His most notable work introduces an innovative AI-driven harvester designed specifically for safflower—a crop vital to Middle Eastern economies for its use in cosmetics, dyes, and premium foods. By integrating machine vision and adaptive robotics, Yoshihiro’s system addresses the long-standing challenge of mechanically harvesting safflower’s delicate, variable-height blooms without damaging the plant or reducing yield. This contribution has the potential to transform labor-intensive harvesting into an efficient, scalable process, directly supporting local farmers and supply chains. While his seminal paper on safflower production management currently holds 2 citations, its practical implications for agricultural robotics and ecosystem-aware farming are gaining attention among researchers in agri-tech and sustainable engineering. Yoshihiro’s work exemplifies how targeted AI applications can solve niche but critical problems in global food systems, bridging traditional cultivation with modern automation.