Sri Ulan Sari
Papers
1
Total Citations
16
H-Index
1
About
Sri Ulan Sari is a researcher at the forefront of applying computer vision and image processing to agricultural technology. Her work centers on developing intelligent systems for crop monitoring and automation, with a particular focus on fruit detection and maturity assessment. Her most cited paper, "Image Processing Techniques For Tomato Segmentation Applying K-Means Clustering and Edge Detection Approach" (2022, 16 citations), introduces a robust segmentation method that combines K-means clustering with edge detection to accurately isolate tomatoes in complex field environments. This foundational contribution supports the development of fruit harvesting robots and automated quality control systems, directly addressing challenges in precision agriculture. By refining segmentation—a critical step in visual recognition—Sari’s research enables more reliable identification of fruit ripeness, reducing waste and improving harvest efficiency. Her work bridges the gap between computational techniques and practical farming needs, offering scalable solutions for modern agriculture. With growing interest in smart farming, Sari’s contributions are increasingly cited by researchers exploring automated crop management, positioning her as a rising voice in the intersection of image processing and agricultural innovation.
Research Focus
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Top Papers
- 1