Dewi Permatasari
Papers
1
Total Citations
5
H-Index
1
About
Dewi Permatasari’s research lies at the intersection of robotics, computer vision, and agricultural automation, with a focus on developing intelligent systems for real-world applications. Her most-cited work, “Edge detection for online image processing of a vision guide pick and place robot” (2019), addresses a critical challenge in digital farming: enabling robots to accurately perceive and manipulate objects in dynamic environments. By integrating edge detection algorithms with vision-guided robotic arms, Permatasari’s contributions support the automation of tasks like fruit picking and sorting, directly responding to labor shortages and rising food demand. Though her citation count is modest, her work is foundational for researchers exploring low-cost, efficient vision systems in agriculture. Permatasari’s research exemplifies how robotics can bridge the gap between industrial automation and sustainable farming, offering scalable solutions for the future of food production. Her achievements highlight the growing importance of interdisciplinary approaches in tackling global agricultural challenges.
Research Focus
Key Achievements
Top Papers
- 1