Introduction: The environmental problems related to global warming, climate change, and alterations in natural resources deepen the food supply worldwide, so the applicability of cutting-edge digital technology raises viable alternatives for the transformation of the agricultural sector with generative, resilient, sustainable and adaptive practices to meet the challenges of food insecurity and malnutrition. Based on the applicability of intelligent technologies in production processes, processing, conservation, monitoring, simulation, modeling, and management of natural resources to ensure the goal of sustainable development and zero hunger. Therefore, the object of analysis of the bibliometric review on the sustainable management of natural resources with smart technologies for food production was raised, for which the main databases Scopus, IEEE Eplore, MDPI, and Springer were explored, during a period of six years, with the use of the methodology (PRISMA, 2020). To conclude, it is concluded that the incorporation of smart technologies such as industry 4.0, 5.0, IoT, AI, robotics, smart irrigation, satellite imagery, simulation, autonomous learning Big Data, blockchain that allow ensuring healthy, nutritious and sustainable food

The study examines how Higher Education Institutes (HEIs) address environmental social responsibility highlighting the importance of training professionals committed to society and sustainable development. The research underlines the importance of HEIs assuming an active role in the formation of individuals aware of their environment and committed to socio-environmental responsibility by considering responsible teaching and learning practices, resulting from a systematic review based on the PRISMA 2020 methodology, with the search of articles published in the Scopus database, obtaining an initial result of 785 scientific documents, to later carry out a process of exclusion of articles, resulting in the final phase a total of 66 documents for analysis, finally three analyses of co-authorship, co-occurrence and co-citation with the authors' database were carried out

Widespread use of data display terminals (DUTs) in a work environment could represent a risk for developing ocular pathologies and dangers. One way to determine the presence and severity of these symptoms is through the CVSS17 questionnaire. In this study, visual symptoms were evaluated in the administrative staff of an Ecuadorian public hospital. The results indicate no association between visual symptoms and gender (contingency coefficient 0.085, p=0.83). A moderate but not statistically significant association was found between symptom intensity and age (contingency coefficient of 0,344, p=0,347). However, there is a statistically significant positive association between symptom intensity and type of contract (contingency coefficient 0,40, p=0,049, Cramer's Test V 0,3, p=0,049). Symptom severity is mild in 38 % (95 % CI 24,0 % - 51,9 %), followed by 34 % of moderate symptoms (95 % CI 20,4 % - 47,6 %), according to the percentages obtained in the CVSS17 questionnaire. It is suggested that visual hygiene be improved, the work environment optimized, and regular visual stimulation breaks established to prevent visual symptoms. These measures, assessed by the CVSS17 questionnaire, provide a healthier working environment