Windi Antania Sasmita
Papers
1
Total Citations
2
H-Index
1
About
Windi Antania Sasmita is a researcher at the forefront of agricultural automation, with a primary focus on developing cost-effective navigation systems for autonomous agricultural vehicles. Her most cited work, "Agricultural path detection systems using Canny-edge detection and Hough transform" (2024), addresses a critical barrier in precision agriculture: the high cost of existing navigation technologies. By applying classical computer vision techniques—Canny-edge detection for identifying field boundaries and the Hough transform for detecting straight crop rows—Sasmita has demonstrated that reliable path planning can be achieved without expensive sensors or GPS modules. This contribution is particularly valuable for smallholder farmers and developing regions where budget constraints limit access to automation. With 2 citations already, her work is gaining traction as a practical, low-cost solution for guiding robots and autonomous tractors through agricultural landscapes. Sasmita’s research bridges the gap between advanced robotics and accessible farming technology, offering a scalable approach to improving efficiency in crop management. Her achievements highlight a commitment to democratizing agricultural automation, making her a promising voice in the field of smart farming and computer vision applications.
Research Focus
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Top Papers
- 1