Jonathan Imago Dei Gloriawan
Papers
2
Total Citations
23
H-Index
2
About
Dr. Jonathan Imago Dei Gloriawan is a pioneering researcher at the intersection of precision agriculture and the Internet of Things (IoT), with a focused expertise in developing autonomous robotic systems for soil monitoring and crop management. His most impactful work, "Design of a Robot to Control Agricultural Soil Conditions using ESP-NOW Protocol" (2020, 21 citations), introduced a novel, real-time communication framework that leverages the ESP-NOW protocol to enable rapid, low-latency data exchange between agricultural robots and control systems. This foundational contribution addresses a critical bottleneck in IoT-based farming: the need for instantaneous data transmission to make timely decisions about soil health. Building on this, Dr. Gloriawan advanced the field with "Robot Monitoring and Controlling Soybean Field Soil Condition Based On K-Nearest Neighbor Algorithm and Message Queuing Telemetry Transport Protocol" (2021, 2 citations), where he integrated machine learning—specifically the K-Nearest Neighbor algorithm—with the MQTT protocol to create an autonomous robot capable of intelligently assessing and adjusting soil moisture levels to boost soybean yields. His work directly tackles the global challenge of declining soybean production by offering farmers a scalable, automated solution for soil maintenance. Dr. Gloriawan’s research is particularly notable for its practical, problem-driven approach, combining hardware design, wireless communication, and algorithmic decision-making to empower sustainable agriculture.
Research Focus
Key Achievements
Top Papers
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