• Publicationsclose
• 2013-2022close
• Conference object close
• SV close
• Rural Digital Europe close

This paper presents how the COVID-19 pandemic has changed the course of the mobile robotics market, showing the status of mobile robots in three stages: before, during and after the COVID-19 pandemic. By analyzing these stages, it is possible to estimate what awaits this market in the future. From the many applications of mobile robots found during the COVID- 19 pandemic, as will be shown later, it is clear that mobile robots will be an important part of the future influencing the accelerated growth of their market and development.

This paper describes the design and functioning by stages that compose the environmental and electric parameter recollecting device for research Purposes, energetic efficiency, that take place in the production of electric energy using a photovoltaic panel. The device has a local storage through an uSD memory card and remote cloud storage. The device is classified as an IoT device. The information can be accessed through a mobile app. It has temperature, UV rays, light, current, voltage and power sensors. A prototype of the device has been constructed and the results of this prototype are shown in a display and the electric variables were compared using a calibrated multimeter.

This study is focused on two types of technologies used for the analysis of the terrestrial surface, photogrammetry from RGB images, taken from drones and the one made from multispectral images captured by satellites. Within this context, two vegetation indicators were studied: the VARI index, used with RGB cameras, and the NVDI index, used with multispectral sensors. In the present study, the evaluation of the level of approximation or complementarity between the results obtained by satellite images and drone images for the characterization of vegetation cover zones using vegetation indicators is shown. The results obtained show that the VARI index obtained with RGB images allows an acceptable vegetation identification and that it shows a certain similarity with the results obtained from the NDVI index obtained with multispectral images. It is also shown that the VARI indices obtained with RBG and multispectral images differ from each other due to the types of sensors with which they are obtained. Finally, one of the advantages of the use of drones for photogrammetry was verified: the possibility of obtaining a higher resolution which allows visualizing effects that could not be obtained with satellite images.

El Salvador has 5,134 public schools, out of which 3,873 are considered rural. Last year's statistics showed only 394 rural schools had Internet access. That is to say, according to official figures, barely 6% of rural public schools have some sort of Internet service. Globally, lack of Internet service on rural areas have deeply concerned governments, non profit organizations and international institutions like United Nations. Many projects have been carried on the developing world. Solutions based on wireless networks and Voice Over IP seem to be gaining support. They offer low cost solution to the lack of infrastructure in rural public schools. This technologies make feasibility of reaching the poor much more effectively than at present. For almost a decade, the University of El Salvador has been working on ideas to help rural areas to have low cost Internet access. Rural public schools could be one of the great beneficiaries. In this paper we propose solutions based on mesh wifi networks. We analyze a geographical area called Sierra Tecapa-Chinameca where survey site has been conducted. This area is made of more than 200 schools, with more than 50,000 students and 1,800 teachers. To prove our proposal, we discuss an experiment conducted in 2010 where a prototype network was temporarily deployed. Also, we discuss an operating mesh wireless network deployed in 2015, in Santa Marta, Cabanas, about 113 kilometers north east of San Salvador.