Papers
1
Total Citations
4
H-Index
1
About
Daniel Merezeanu is a researcher at the forefront of precision agriculture and cyber-physical systems, with a focus on integrating wireless sensor networks (WSNs) and mobile robotics to revolutionize farming practices. His most cited work, "Large Scale Wireless Sensor Networks Based on Fixed Nodes and Mobile Robots in Precision Agriculture" (2018), has garnered 4 citations, laying the groundwork for scalable, data-driven agricultural monitoring. Merezeanu’s key contributions lie in designing hybrid architectures that combine static sensor nodes with autonomous mobile robots, enabling real-time soil, crop, and environmental data collection over vast agricultural landscapes. This approach addresses critical challenges in resource optimization, such as irrigation and fertilization, by leveraging adaptive, energy-efficient networks. His research bridges the gap between theoretical network design and practical deployment, offering tangible solutions for sustainable farming. While his citation count reflects the emerging nature of this field, Merezeanu’s work is foundational for researchers exploring the intersection of IoT, robotics, and agriculture. His achievements underscore a commitment to solving real-world problems through interdisciplinary innovation, making him a notable figure in the growing domain of smart agriculture.
Research Focus
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Top Papers
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