Novianti Puspitasari
Papers
1
Total Citations
16
H-Index
1
About
Dr. Novianti Puspitasari is a researcher at the intersection of computer vision and agricultural technology, with a primary focus on developing image processing techniques for precision farming. Her most cited work, "Image Processing Techniques For Tomato Segmentation Applying K-Means Clustering and Edge Detection Approach" (2022, 16 citations), addresses a critical challenge in automated agriculture: accurately segmenting fruit from complex backgrounds. By combining K-means clustering with edge detection algorithms, Puspitasari's approach enables more reliable identification of tomatoes for maturity assessment and robotic harvesting systems. This contribution is particularly significant as it enhances the robustness of segmentation procedures that are foundational to fruit harvesting robots and quality control systems. Her work demonstrates how computational methods can bridge the gap between raw visual data and actionable agricultural insights, supporting the development of smarter, more efficient farming technologies. With her research gaining traction in the agricultural engineering community, Puspitasari continues to advance the practical application of computer vision in real-world plantation settings.
Research Focus
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Top Papers
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