
Worked on the ISPC-PI-II-2024/Proyecto_hidroponico repository, delivering embedded sensing features for hydroponic monitoring. Developed C++ modules for ESP32 microcontrollers to collect temperature, humidity, and ambient light data using DHT11 and BH1750 sensors, publishing readings via MQTT for real-time remote access. Enhanced reliability through unit tests and improved maintainability with comprehensive documentation, including installation guides and Grafana integration for data visualization. Focused on cross-platform Arduino support and database management, the work enabled flexible sensor integration and streamlined onboarding. Emphasized clarity and quality by consolidating technical writing and example-driven tutorials, supporting data-driven decisions in IoT environments.
June 2025 monthly summary for ISPC-PI-II-2024/Proyecto_hidroponico: Focused on delivering measurable business value through sensor integration and enhanced documentation. Implemented ambient light sensing with BH1750 library across Arduino platforms and added configurable modes. Completed extensive documentation including improved README, installation guide, Grafana integration guide, and new PDFs covering project overview and database information to accelerate onboarding and data visualization setup. No major bugs reported; work emphasized reliability, maintainability, and clarity.
June 2025 monthly summary for ISPC-PI-II-2024/Proyecto_hidroponico: Focused on delivering measurable business value through sensor integration and enhanced documentation. Implemented ambient light sensing with BH1750 library across Arduino platforms and added configurable modes. Completed extensive documentation including improved README, installation guide, Grafana integration guide, and new PDFs covering project overview and database information to accelerate onboarding and data visualization setup. No major bugs reported; work emphasized reliability, maintainability, and clarity.
April 2025 monthly summary for ISPC-PI-II-2024/Proyecto_hidroponico. Delivered an embedded sensing feature that enables ESP32 to collect environmental data using a DHT11 sensor and publish readings to an MQTT broker for remote, real-time monitoring. Implemented unit tests for the DHT11 sensor to ensure reliability before field deployment. The work enhances remote visibility into hydroponic conditions and lays the groundwork for alerts and analytics.
April 2025 monthly summary for ISPC-PI-II-2024/Proyecto_hidroponico. Delivered an embedded sensing feature that enables ESP32 to collect environmental data using a DHT11 sensor and publish readings to an MQTT broker for remote, real-time monitoring. Implemented unit tests for the DHT11 sensor to ensure reliability before field deployment. The work enhances remote visibility into hydroponic conditions and lays the groundwork for alerts and analytics.

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