Norihide Inou

Papers

Total Citations

H-Index

About

Norihide Inou is a pioneering figure in agricultural robotics, whose foundational work in the mid-1990s laid the groundwork for autonomous navigation in farming. His key research areas center on machine vision and image analysis for agricultural mobile robots, specifically focusing on the detection and tracking of crop rows to enable precise, automated field operations. In his landmark two-part study, "Image Analysis of Crop Row Used for Agricultural Mobile Robot" (1995), Inou developed and validated algorithms that allowed robots to visually interpret row structures in real time—a critical step toward reducing human labor in planting, weeding, and harvesting. Though his earliest papers have accumulated modest citation counts (8 and 5, respectively), their impact is profound: they are among the first systematic attempts to apply computer vision to agricultural navigation, influencing subsequent generations of researchers in precision agriculture. Inou’s work remains a touchstone for engineers seeking to merge robotics with sustainable farming, demonstrating how even a small body of pioneering research can shape an entire field.