Max Robotics — Global Service Robot Directory + US Certification

About

Amina Belhassena is a researcher at the forefront of smart farming and agricultural IoT, where she designs the intelligent systems that enable autonomous robots to work the land. Her work focuses on the critical challenge of scheduling and monitoring agricultural robots within complex IoT ecosystems. Belhassena’s key contribution is the **LambdAgrIoT architecture**, a novel framework for scheduling autonomous agricultural robots, detailed in her most-cited paper (15 citations). She also developed a **data-centric UML profile** specifically for agroecology applications, providing a powerful conceptual design tool to manage the complexity of IoT data, architectures, and communication networks in farming. By bridging the gap between theoretical conceptual design and real-world experimental validation, Belhassena’s research directly addresses the inter-related scopes of robot programming, task scheduling, and sensor data management. Her work is foundational for building the next generation of Farm Management Information Systems, making precision agriculture more efficient and autonomous.