Adi Kurniawan Saputro
Papers
1
Total Citations
1
H-Index
1
About
Dr. Adi Kurniawan Saputro is an emerging researcher at the intersection of marine biology, computer vision, and precision aquaculture. His primary research areas include the application of machine learning algorithms for disease detection in marine resources, with a particular focus on seaweed cultivation. Dr. Saputro’s most notable contribution is his pioneering work on integrating the K-Nearest Neighbor (K-NN) algorithm with vision-based robotic technology to analyze Ice-Ice disease in seaweed, a major threat to global seaweed production. This innovative approach offers a significant leap over traditional, less precise monitoring methods by enabling automated, real-time detection of disease symptoms. While his work is just beginning to gain traction—with his 2024 paper already accumulating its first citation—the practical implications are substantial. By advancing remote sensing technology for marine monitoring, Dr. Saputro is laying the groundwork for more resilient and data-driven seaweed farming practices. His research holds promise for improving crop yield and quality, directly benefiting coastal economies and the sustainability of the aquaculture industry.
Research Focus
Key Achievements
Top Papers
- 1