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About

Dania Eridani is a researcher at the forefront of agricultural robotics and intelligent automation, with a focus on deploying Internet of Things (IoT) and machine learning to solve real-world problems. Her work centers on creating autonomous systems that bridge the gap between theoretical algorithms and practical, field-deployed hardware. A key contribution is the development of a robot that monitors and controls soil conditions in soybean fields, utilizing a K-Nearest Neighbor algorithm and the MQTT protocol to address the critical issue of declining crop yields due to inadequate soil moisture management. This work, which has garnered 2 citations, showcases her ability to integrate sensor data with real-time decision-making. Beyond agriculture, Eridani has explored the intersection of robotics and sports, designing a basketball-shooting arm that accurately implements parabolic motion, demonstrating her versatility in applying kinematic principles to human-like robotic movement. Her foundational work in room automation, including a door and light control prototype using the Intel Galileo board for an IoT-based smart lab, further underscores her commitment to creating efficient, human-centric technologies. Eridani’s research is characterized by a hands-on, case-study approach that directly translates complex computational concepts into tangible, impactful systems.