Aquaculture is a vital contributor to global food security, yet maintaining optimal water quality remains a persistent challenge, particularly in resource-limited rural settings. This study integrates Internet of Things (IoT) technology, Machine Learning (ML) models, and the Quantum Approximate Optimization Algorithm (QAOA) to enhance water quality monitoring and prediction in aquaculture. IoT sensors continuously measured parameters such as temperature, dissolved oxygen (DO), pH, and turbidity, while ML models—including Random Forest—provided high accuracy predictions (R² = 0.999, RMSE = 0.0998 mg/L). The integration of the QAOA reduced model training time by 50%, enabling rapid, real-time responses to changing water conditions. Over 6000 corrective interventions were conducted during the study, maintaining fish survival rates above 90% in tropical aquaculture environments. This adaptable system is designed for both urban and rural settings, using low-cost sensors and local data processing for constrained environments or cloud-based systems for real-time analysis. The results demonstrate the potential of IoT–ML–QAOA integration to mitigate environmental risks, optimize fish health, and support sustainable aquaculture practices. By addressing technological and infrastructural constraints, this study advances aquaculture management and contributes to global food security.

The environmental summits in Rio de Janeiro, Kyoto, Johannesburg, Bali, Copenhagen, and Paris significantly contributed to raising awareness among nations about the need to reduce greenhouse gas (GHG) emissions. In this context, the energy transition from carbon-based energy sources to renewable energy sources is one of the main goals for both states and companies in the short and medium term. Therefore, the objective of this article is to propose a methodological route for the implementation of energy transition in Colombian SMEs. To achieve this objective, it was necessary to analyze the climate change and energy transition programs included in Colombia’s development plans. The results show that SMEs do not have significant participation in energy transition processes, mainly due to the economic and market barriers they face. However, the fiscal incentives and subsidies established by the government since 2018 increase opportunities for their participation in the present and the coming years.

This study examines the hypothesis that effective integration of Information and Communication Technologies (ICT) in environmental education, through well-designed pedagogical strategies and the development of critical digital competencies, can significantly improve sustainability learning and student engagement with environmental issues. Through a rigorous bibliometric analysis of the literature between 2018 and 2023, we developed the Model of Pedagogical Integration for Sustainability and Technology (MIPST), which is grounded in active pedagogy, critical digital competence, inclusion and accessibility, and community engagement. The findings suggest that ICT, when implemented within an appropriate pedagogical framework, not only offer valuable tools for sustainability teaching and learning, but that their success is crucially dependent on effective inclusion and community collaboration. This paper contributes to the field of environmental education by providing a detailed framework for effective ICT integration, with the potential to transform both the teaching and learning of sustainability. Furthermore, it highlights the importance of tailoring educational interventions to the specific needs of each community, ensuring that technology serves as a bridge to a more sustainable and equitable future

The implementation of Information Technology (IT) in university education encompasses multiple aspects, from the incorporation of accessible technologies to the disruptive transformation of learning through emerging technologies. This article proposes a conceptual framework that describes four phases of IT adoption by university teachers: Technology Adoption, Online Collaboration and Feedback, Technology Exploration and Experimentation, and Adoption of Emerging Technologies. Each phase is detailed, starting from the integration of accessible technological tools to the incorporation of emerging technologies such as artificial intelligence, virtual and augmented reality, to create innovative and transformative learning experiences. This article is based on bibliographic references that support each phase and underline the importance of personalizing learning, promoting interaction between students and teachers, and applying project-based approaches to enrich the educational process

The significant climate change the planet has faced in recent decades has prompted global leaders, policymakers, business leaders, environmentalists, academics, and scientists from around the world to unite their efforts since 1987 around sustainable development. This development not only promotes economic sustainability but also environmental, social, and corporate sustainability, where clean production, responsible consumption, and sustainable infrastructures prevail. In this context, the present article aims to propose a development framework for sustainability in food sector SMEs, which includes Life Cycle Assessment (LCA) and the integration of Environmental, Social, and Governance (ESG) strategies as key elements to reduce CO2 emissions and improve operational efficiency. The methodology includes a comparative analysis of strategies implemented between 2019 and 2023, supported by quantitative data showing a 20% reduction in operating costs, a 10% increase in market share, and a 25% increase in productivity for companies that adopted clean technologies. This study offers a significant contribution to the field of corporate sustainability, providing a model that is adaptable and applicable across different regions, enhancing innovation and business resilience in a global context that requires collective efforts to achieve the sustainable development goals.

Sustainable development throughout the world depends on several factors such as the economy, quality education, agriculture, industry, among others, but the environment is one of the most important. Industrialization and new land use plans have caused the proliferation of pollutants in water resources, which poses a serious public challenge. As outlined in the sustainable development goals (SDGs), innovative water quality monitoring methods are needed to ensure access to water, sustainable management and sanitation. In this sense, technologies are sought that contribute to the development and implementation of groundwater and surface water quality monitoring systems in real time, so that their parameters can be evaluated through descriptive analysis, in rural populations and areas of difficult access. Nowadays, the internet of things (IoT) and the development of modern sensors are more used, so this research reviews the latest technologies to monitor and evaluate water quality using the potential and possibilities of the IoT. The main contribution of this article is to present an overview of the state of the art of IoT applications and instrumentation for water quality monitoring, focusing on the latest innovations, in order to identify interesting and challenging areas that can be explored in future research.