Wira Hidayat Mohd Saad
Papers
6
Total Citations
52
H-Index
4
About
Wira Hidayat Mohd Saad is a robotics researcher whose work bridges agricultural automation and intelligent robotic systems. His primary research areas include deep learning for precision agriculture, robotic vision, and autonomous mobile robot navigation. Saad’s most impactful contribution is the application of deep neural networks for disease detection in solanaceous crops—such as tomatoes and chilies—enabling robot vision systems to identify plant diseases and nutrient deficiencies automatically. This work, which has garnered 20 citations, addresses a critical challenge in modern farming by reducing reliance on manual crop monitoring. He further advanced agricultural robotics by developing a deep learning-based detector for chili and flower recognition, achieving 13 citations, a key step toward autonomous fruit harvesting. Beyond agriculture, Saad has contributed to surveillance and industrial robotics, including the development of a line-follower mobile robot for camera monitoring (10 citations) and the simulation of delta robot arms using ROS 2 for kinematic motion and stereo camera visualization. His work demonstrates a strong commitment to integrating perception, control, and simulation in robotics, with applications ranging from smart farming to industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Disease Detection of Solanaceous Crops Using Deep Learning for Robot Vision20 citations · 2022
- 2
- 3Line Follower Mobile Robot for Surveillance Camera Monitoring System10 citations · 2018
- 4
- 5
- 6Development of Line Follower Robot with Camera Surveillance System2 citations · 2019