About

Sandro Bimonte is a leading researcher at the intersection of data engineering, the Internet of Things (IoT), and autonomous robotics, with a focused application in sustainable agriculture. His work addresses the critical challenge of designing robust, data-centric architectures for smart farming, particularly for the scheduling and real-time monitoring of agricultural autonomous robots. Bimonte’s major contributions include the development of the LambdAgrIoT architecture, a novel framework that integrates IoT and robotics for efficient task scheduling, as detailed in his most-cited 2022 paper (15 citations). He has also pioneered data-centric UML profiles tailored for agroecology applications, enabling more effective conceptual design of complex IoT systems. His recent 2025 work on a data engineering architecture for sustainable agriculture (6 citations) further extends his impact, proposing a comprehensive IoRT (Internet of Robotic Things) reference model. With a growing body of work that bridges theoretical design and practical experimentation, Bimonte is shaping the future of precision agriculture, demonstrating how intelligent data management can drive autonomous, eco-friendly farming operations.

Research Focus

Key Achievements

4
H-Index
6
Papers
32
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
LambdAgrIoT: a new architecture for agricultural autonomous robots’ scheduling: from design to experiments
15 citations · 2022
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Université Clermont Auvergne

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago