Sulay Morocho

Universidad Técnica Particular de Loja

Papers

1

Total Citations

3

H-Index

1

About

Sulay Morocho is a researcher at the forefront of integrating artificial intelligence with industrial robotics, with a primary focus on smart automation and precision agriculture. Her most notable contribution is the development of an automatic coffee bean selection system, which combines a Convolutional Neural Network (CNN) with a Scara Epson robot arm. This innovative work, published in 2022, demonstrates how deep learning can enhance robotic perception and decision-making, enabling the system to accurately identify and sort coffee beans based on shape and visual features. Though early in its citation impact, with 3 citations to date, this research represents a significant step toward practical, AI-driven solutions in agricultural processing. Morocho’s work bridges the gap between computer vision and industrial automation, offering a scalable model for quality control in food production. Her approach not only improves efficiency but also reduces human error, highlighting the transformative potential of intelligent robotics in traditional industries. As her research gains traction, Morocho is poised to make lasting contributions to the fields of mechatronics, machine learning, and sustainable agriculture.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Convolutional Neural Network and Industrial Robot Arm applied to an automatic coffee bean selection system
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universidad Técnica Particular de Loja

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago