Samfford S. Cabaluna
Papers
1
Total Citations
2
H-Index
1
About
Samfford S. Cabaluna is a rising researcher at the intersection of computer vision, agricultural technology, and data visualization. His work focuses on developing intelligent systems to address critical challenges in Philippine agriculture, particularly in the coconut industry—a sector vital to the nation’s economy. Cabaluna’s most cited paper, “Computer-Vision-Based Detection and Monitoring System for Mature Coconut Fruits with a Web Dashboard Visualization Platform” (2024), introduces a novel approach to automating the labor-intensive and hazardous task of coconut harvesting. By combining deep learning-based fruit detection with a real-time web dashboard, his system enables farmers to monitor crop maturity remotely, reducing reliance on dangerous manual climbing. Although early in his career, this work has already garnered attention (2 citations) for its practical potential to transform traditional farming practices. Cabaluna’s contributions exemplify how applied computer vision can bridge the gap between cutting-edge technology and grassroots agricultural needs, offering scalable solutions for food security and worker safety. His research stands as a promising step toward modernizing Philippine agriculture through accessible, data-driven tools.
Research Focus
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Top Papers
- 1