This paper presents a comprehensive holistic methodology implemented for sustainable lighting systems in educational institutions. The proposed methodology is aligned with the Sustainable Development Goals (SDGs), particularly with SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action), and it follows international standards. The six-step process includes viability analysis, project design simulation using DIALux 4.13 software, the installation of LED lighting systems, and the redesign of some electrical circuits, followed by an analysis of return on investment and the monitorization of CO₂ and energy consumption. The proposed methodology results in significant return on investment (ROI), primarily achieved through energy savings and reduced maintenance costs. The implementation of LED tubes, combined with occupancy and natural light sensors, leads to a 66% reduction in energy consumption and a reduction of 15.63 tons (metric tons) of CO₂ annually, translating into a quick payback period of approximately 2.36 years. Additionally, the system includes Long-Term Monitoring, which ensures that energy consumption and lighting levels are continuously tracked.

This article focuses on the implementation of a system to send and receive data using an Arduino MEGA and an Ethernet Shield, with an emphasis on communication with a microservices-based API. The relevance of this study lies in the growing demand for accessible technological solutions for automation and education, allowing the integration of low-cost systems with modern data management tools. The objective is to provide a detailed description of the components and configurations required to establish this communication, offering practical examples of the most common HTTP services: GET, POST, PUT, and DELETE. For the creation of the microservices, a MAMP server is used, and PHP is programmed using the Slim Framework. A comprehensive explanation is provided on how to implement each of these methods in Arduino projects, accompanied by code examples and practical demonstrations that facilitate understanding and application in various contexts. The results obtained demonstrate the viability of this technology in educational and automation projects, highlighting the effectiveness of combining Arduino with microservices for real-time data management. In conclusion, the combination of Arduino and microservices presents itself as an effective and adaptable solution for implementing technological projects in educational and automation contexts, offering a robust and efficient alternative for data handling.

This study presents the development of a low-cost web-based platform designed to improve precision agriculture in the sugarcane sector through real-time monitoring of key environmental variables. The proposed system aims to address the technological gap in rural agricultural settings by integrating accessible and open-source technologies. The methodology involved the use of temperature, humidity, and rainfall sensors connected to an Arduino microcontroller, which transmits the collected data via HTTP to a MySQL database. A web interface, developed using HTML, CSS, and PHP, enables users to remotely visualize environmental conditions through graphical and numerical formats. The platform was implemented and tested in a sugarcane cultivation environment to evaluate its performance in terms of responsiveness, stability, and usability. Results from field testing indicated a latency of less than three seconds in data transmission, with an automatic update frequency of approximately one minute. Additionally, a significant reduction in data retrieval time was observed, along with improved accuracy in decision-making due to the real-time visualization of critical parameters. The entire solution was developed with cost efficiency in mind, reaching an estimated implementation cost of approximately $500, significantly lower than traditional commercial systems. The proposed platform not only automates data acquisition and visualization but also lays the foundation for future integration with artificial intelligence algorithms to enable predictive analysis and advanced decision support. This system offers a scalable, adaptable, and affordable tool to support small and medium-sized producers in rural areas.

El ácido poliláctico (PLA) es uno de los materiales más utilizados en procesos de impresión 3D; sin embargo, la generación de residuos provenientes de soportes y piezas defectuosas representa un desafío creciente para su gestión. Este trabajo presenta el diseño y validación de un sistema modular para el reciclaje de PLA mediante trituración y extrusión, orientado a su implementación en entornos educativos y de manufactura a pequeña escala. El sistema desarrollado permite transformar residuos de impresión 3D en filamento reutilizable a través de un proceso integrado de reducción de tamaño y extrusión controlada. Se evaluaron parámetros operativos como la capacidad de trituración, el consumo energético y la estabilidad dimensional del filamento obtenido. Los resultados muestran una capacidad de trituración de 1.2 kg/h y una producción de filamento de 0.32 kg/h con un diámetro promedio de 1.75 ± 0.10 mm, valores comparables con prototipos académicos reportados en la literatura. El sistema desarrollado demuestra la viabilidad técnica del reciclaje de PLA en contextos educativos y de innovación tecnológica.