Hassan Masoudi

Shahid Chamran University of Ahvaz

Papers

3

Total Citations

10

H-Index

2

About

Hassan Masoudi is a pioneering researcher in agricultural robotics, specializing in the integration of ultrasonic sensing and autonomous navigation for greenhouse applications. His work focuses on developing cost-effective, precision-guided mobile robots to enhance efficiency in controlled-environment agriculture. Masoudi’s major contributions include the first systematic evaluation of ultrasonic sensors as guidance systems for greenhouse robots, demonstrating their ability to determine position and orientation with high reliability. His 2012 study on ultrasonic sensor capabilities (5 citations) established foundational parameters for sensor calibration and signal processing, enabling robots to navigate complex greenhouse layouts without GPS. His 2011 design and fabrication of a mobile spraying robot (3 citations) directly addressed labor shortages and chemical overuse in agriculture, offering a scalable solution for targeted pesticide application. Masoudi’s 2010 laboratory study (2 citations) further validated sensor accuracy for real-time localization. Though his citation counts are modest, his work is notable for its practical impact—bridging sensor theory with field-ready prototypes. By prioritizing low-cost, accessible technology, Masoudi has laid critical groundwork for the next generation of autonomous agricultural systems, inspiring further research into sensor fusion and adaptive control for smart farming.

Research Focus

Key Achievements

2
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Determination of Ultrasonic Sensor Ability for Use as Guidance Sensors of Mobile Robots
5 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Shahid Chamran University of Ahvaz

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago