Khoerul Anwar
Papers
1
Total Citations
57
H-Index
1
About
Khoerul Anwar is a researcher specializing in computer vision and agricultural technology, with a particular focus on applying image processing techniques to improve agricultural productivity. His most cited work, "Automatic image segmentation of oil palm fruits by applying the contour-based approach" (2019), has garnered 57 citations, demonstrating its significant impact on precision agriculture. In this study, Anwar developed a novel contour-based segmentation method that enables automated identification and classification of oil palm fruit ripeness, addressing a critical need in the palm oil industry for efficient, non-destructive quality assessment. This contribution has practical implications for reducing labor costs and improving harvest timing, making it a valuable resource for researchers and engineers working on smart farming solutions. Anwar's work bridges the gap between advanced computer vision algorithms and real-world agricultural challenges, showcasing his ability to deliver applied research with tangible benefits. His research continues to influence developments in automated crop monitoring and image-based decision support systems, positioning him as a key figure in the intersection of technology and sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1