Papers

2

Total Citations

6

H-Index

1

About

Houssam Bazza is a researcher at the forefront of digital agriculture, specializing in the intersection of the Internet of Things (IoT), robotics, and data-centric systems for agroecology. His work focuses on addressing the critical challenge of managing and processing the vast, complex data streams generated by autonomous agricultural robots and smart farming technologies. Bazza’s major contribution lies in pioneering a data-centric UML profile, a novel conceptual design methodology that integrates IoT data architectures, communication networks, and robotic monitoring into a unified framework. This approach, detailed in his most-cited 2022 paper (5 citations), provides a robust tool for modeling information systems in precision agriculture. He has also authored a comprehensive 2025 survey on data management and processing for IoT and robotics in smart farming, synthesizing current challenges and future directions in the field. Bazza’s work is instrumental in bridging the gap between conceptual design and practical IoT deployment, offering scalable solutions for sustainable agroecology. His research is essential reading for students and engineers seeking to harness data-driven robotics for next-generation farming.

Research Focus

Key Achievements

1
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Data-centric UML profile for agroecology applications: Agricultural autonomous robots monitoring case study
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Abdelmalek Essaâdi University, Moroccan Foundation for Advanced Science, Innovation and Research

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago