Leah A. Alindayo
Papers
1
Total Citations
2
H-Index
1
About
Leah A. Alindayo’s research lies at the intersection of computer vision, agricultural technology, and data-driven monitoring systems, with a focus on addressing labor-intensive challenges in the Philippine coconut industry. Her most cited work, “Computer-Vision-Based Detection and Monitoring System for Mature Coconut Fruits with a Web Dashboard Visualization Platform” (2024), tackles the critical problem of manual coconut harvesting—a process that traditionally requires dangerous climbing and chopping. By developing an automated detection system that identifies mature fruits and integrates real-time data into a web-based dashboard, Alindayo offers a scalable, tech-driven solution to improve efficiency and safety for farmers. Although early in her career, this work has already garnered attention (2 citations), reflecting its relevance to both computer vision applications and sustainable agriculture. Her contributions exemplify how emerging technologies can modernize traditional sectors, particularly in the Philippines, which ranks as the world’s second-largest coconut producer with over 347 million trees. Alindayo’s research not only advances precision agriculture but also demonstrates the potential of interdisciplinary approaches to solve real-world problems, positioning her as a promising voice in agricultural innovation.
Research Focus
Key Achievements
Top Papers
- 1