Papers

2

Total Citations

9

H-Index

2

About

M.N. Mohd Azemi is a researcher whose work sits at the intersection of robotics, computer vision, and food technology — an area that demands both technical precision and practical industrial insight. His most recognized contribution focuses on the application of computer vision systems and robotic automation to food handling and packaging, a field where the gap between cutting-edge technology and real-world industrial suitability remains a persistent challenge. Azemi's research directly addresses this disconnect, highlighting how conventional robot vision systems, while commonplace in broader manufacturing, are often poorly suited to the unique and demanding conditions of food processing environments. His work advocates for more tailored technological solutions that account for the specific physical and hygienic constraints of the food industry. Though his citation record reflects an emerging body of work, with his most-cited publications accumulating modest but meaningful recognition, his research contributes to a growing conversation about intelligent automation in food production. For students and researchers exploring the role of robotics in agri-food systems or industrial automation, Azemi's work offers a grounded and practically oriented perspective on bridging technological capability with real-world application.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Food handling and packaging using computer vision and robot
5 citations · 2004
📈 Most Prolific Year: 2004 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Universiti Sains Islam Malaysia, Hospital Universiti Sains Malaysia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago