Marco Morales developed a real-time conductivity monitoring system for the Smart-irrigation-system-Digital-I repository, integrating ESP32 and FPGA hardware using C and Verilog. He established a UART communication link between the ESP32 and FPGA, enabling analog data acquisition, scaling, and reliable data handoff. Morales enhanced the system with Bluetooth monitoring and MQTT-based cloud publishing, supporting remote visibility and fault-tolerant reconnection. He updated hardware configuration data for simulation and design, and improved documentation to streamline onboarding and maintenance. By removing legacy RISC-V components, Morales reduced technical debt, resulting in a scalable, maintainable platform for future IoT deployments and remote monitoring.
July 2025 delivered end-to-end capability for real-time conductivity monitoring and remote visibility. Implemented the initial UART ESP32–FPGA link, evolved the conductivity sensor module (analog read, scaling, UART transmission to FPGA) with Bluetooth monitoring, and added MQTT-based cloud publishing with fault-tolerant reconnection. Completed hardware configuration data for the p2 module and performed comprehensive repository hygiene by removing legacy RISC-V components. Documentation and README housekeeping were updated to reflect tests, team, and version history, improving onboarding and maintainability. Overall impact: enables real-time, scalable monitoring with reduced maintenance burden and a solid foundation for future deployments.
July 2025 delivered end-to-end capability for real-time conductivity monitoring and remote visibility. Implemented the initial UART ESP32–FPGA link, evolved the conductivity sensor module (analog read, scaling, UART transmission to FPGA) with Bluetooth monitoring, and added MQTT-based cloud publishing with fault-tolerant reconnection. Completed hardware configuration data for the p2 module and performed comprehensive repository hygiene by removing legacy RISC-V components. Documentation and README housekeeping were updated to reflect tests, team, and version history, improving onboarding and maintainability. Overall impact: enables real-time, scalable monitoring with reduced maintenance burden and a solid foundation for future deployments.
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