Mohamed El Ansari

Université Moulay Ismail de Meknes

Papers

3

Total Citations

47

H-Index

3

About

Dr. Mohamed El Ansari is a leading researcher at the forefront of precision agriculture and agricultural robotics. His work focuses on developing intelligent, autonomous systems to revolutionize greenhouse farming, with a particular emphasis on strawberry cultivation. Dr. El Ansari’s major contributions center on the "AgriEco Robot," an autonomous mobile platform he designed for tasks like pesticide spraying. He has pioneered robust navigation methods using 2D LIDAR and visual sensors, enabling the robot to accurately guide itself between crop rows, as detailed in his highly cited 2022 work (26 citations). His research also tackles the critical challenge of sensor fusion, developing precise calibration methods for LIDAR-visual systems (13 citations), and advancing real-time crop detection. Most recently, his 2024 study on embedding a real-time strawberry detection model into the spraying robot (8 citations) demonstrates a significant leap toward fully autonomous, data-driven greenhouse operations. Through these integrated contributions, Dr. El Ansari is helping to shape a future where mobile robots enhance farming efficiency, productivity, and sustainability.

Research Focus

Key Achievements

3
H-Index
3
Papers
47
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
LIDAR-based autonomous navigation method for an agricultural mobile robot in strawberry greenhouse: AgriEco Robot
26 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Université Moulay Ismail de Meknes

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago