Alimed Celecia

Pontifícia Universidade Católica do Rio de Janeiro

Papers

Total Citations

H-Index

About

Alimed Celecia is a researcher focused on advancing autonomous systems in precision agriculture, with a particular emphasis on robotic navigation and field automation. Their most cited work, "Sistema de navegação autônoma para o robô agrícola Soybot" (2021), introduces a GPS-based navigation framework for the agricultural robot Soybot, designed to optimize post-planting operations such as weeding, monitoring, and soil management. This contribution addresses a critical gap in agricultural robotics: enabling machines to move autonomously through crop rows after initial planting, thereby reducing human labor and increasing efficiency. With 2 citations, the study has laid groundwork for integrating low-cost GPS solutions into small-scale agricultural robots, supporting the broader goal of data-driven, sustainable farming. Celecia’s research bridges robotics, control systems, and agronomy, offering practical tools for farmers to maximize yield through precise, automated field interventions. Their work is particularly notable for its focus on accessible technology, aiming to democratize precision agriculture for smaller operations. As a researcher, Celecia contributes to the growing body of knowledge on autonomous agricultural machinery, with potential applications in crop monitoring, variable-rate application, and environmental stewardship.