Gabriel Lins Tenorio

Pontifícia Universidade Católica do Rio de Janeiro

Papers

Total Citations

112

H-Index

About

Gabriel Lins Tenorio is a leading researcher in agricultural robotics and precision farming, with a primary focus on developing intelligent perception systems for fruit harvesting automation. His most influential work, "Fruit Localization and Environment Perception for Strawberry Harvesting Robots" (2019, 112 citations), introduced a pioneering machine vision system that leverages deep convolutional neural networks for accurate strawberry segmentation and localization in table-top production environments. This contribution directly addresses one of the most challenging aspects of robotic harvesting—reliable fruit detection under variable lighting and occlusion conditions. Tenorio’s research bridges computer vision, deep learning, and robotics, enabling autonomous systems to perceive complex agricultural scenes with high precision. His work has been widely cited by researchers developing soft fruit harvesting robots, underscoring its foundational impact on the field. By advancing perception algorithms that allow robots to distinguish ripe fruit from foliage and stems, Tenorio has helped move agricultural robotics closer to commercial viability, reducing labor dependency and improving harvest efficiency. His achievements represent a significant step toward fully autonomous farming systems.