Jilbert M. Novelero
Papers
1
Total Citations
13
H-Index
1
About
Jilbert M. Novelero is a leading researcher in agricultural automation and artificial intelligence, with a primary focus on developing deep learning solutions for precision agriculture. His most cited work, "On-tree Mature Coconut Fruit Detection based on Deep Learning using UAV images" (2022, 13 citations), addresses a critical safety issue in the Philippines, where coconut harvesting is one of the most dangerous agricultural jobs due to the risks of climbing tall trees. Novelero’s major contribution lies in pioneering the use of unmanned aerial vehicles (UAVs) combined with convolutional neural networks to detect mature coconuts from aerial imagery, enabling safer, ground-based harvesting operations. This work demonstrates his impact by providing a scalable, non-invasive method that reduces fatal injuries and improves efficiency in the coconut industry—a vital sector for the Philippine economy. Beyond this, Novelero’s research advances the broader field of smart agriculture, integrating computer vision and robotics to tackle labor-intensive tasks. His achievements highlight a commitment to leveraging technology for social good, making him a notable figure in agricultural AI and a valuable resource for students and researchers interested in real-world applications of deep learning.
Research Focus
Key Achievements
Top Papers
- 1