Dian Neipa Purnamasari
Papers
1
Total Citations
1
H-Index
1
About
Dian Neipa Purnamasari is a researcher advancing the intersection of marine science and artificial intelligence, with a primary focus on aquaculture monitoring and disease detection. Her most-cited work, "Analysis of Ice-Ice Disease on Seaweed Using the K-Nearest Neighbor Algorithm in Vision Robot Technology" (2024), pioneers the use of machine learning and robotic vision to improve seaweed quality assessment. By applying the K-Nearest Neighbor algorithm, she addresses the limitations of traditional, less precise monitoring methods, offering a scalable, remote sensing solution for detecting Ice-Ice disease—a critical threat to seaweed cultivation. This contribution not only enhances the accuracy of marine resource management but also supports the sustainability of seaweed-dependent industries. While her citation count is currently modest, her work represents a novel integration of AI and marine biology, laying groundwork for future innovations in automated aquaculture. Purnamasari’s research is particularly valuable for students and researchers exploring practical applications of computer vision in environmental monitoring, demonstrating how algorithmic approaches can solve real-world agricultural challenges in marine ecosystems.
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Top Papers
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