Farm tractors have become a key part of daily routine agriculture, converting complex and time-consuming tasks into tasks that are easier to perform and less dependent on human labor, contributing directly to increasing the economic value generated by this activity sector, either by increasing the productivity or by making certain agricultural crops viable, which otherwise would not be sustainable. However, despite all the advantages, accidents with this type of equipment are common, often with critical and sometimes fatal consequences. The evolution of safety requirements of these machines has occurred at a good level; however, a significant part of the agricultural tractors in use are older models that do not have such solutions. Even in the new models, which contain such solutions, these are not always correctly used, and it is even common that they are turned off or simply not used at all. It is therefore natural that accidents continue to occur, a situation that is aggravated by other factors. Lack of situational awareness of the operators, which can result from advanced age, inadequate training, reduced sensitivity/respect for safety rules, or working on irregular terrain like mountainous areas, contribute to high-risk contexts that end in the loss of human life. The consequences of such accidents are clearly aggravated by the time it takes to assist the victims—either because accidents are simply not identified/reported immediately, or by the time it takes to locate and provide help to the victims. This is a scenario that is more common in mountainous regions and regions with low population density. The current paper, using NB-IoT, a set of sensors, and a web application, presents a conceptual toolset conceived to prevent accidents and minimize consequences (human and material) that can be applied to old and new farm tractors. The development was carried out taking the characterization of the farmers and the land in the region in which the authors’ research institution is located into account, which has the highest rate of fatal accidents with agricultural tractors in the country; it is a region of mountainous with a very low population density.

The emergence of concepts such as Internet of Things, Cloud Computing has been adding improvements in different sectors of human life activity. The agricultural sector is no exception, and it begins to appear the first systems that use these new concepts, as is the case of, use of drones and associated technology applied to fighting pests or the use of sensor networks to monitor productions. However, the technological gap between urban and rural areas is becoming ever wider, and the arrival of these new concepts in rural areas is taking place very slowly. In order to accelerate this technological transformation, it’s necessary to find tools that reduce these differences, leveraging these rural regions in terms of technology and, at the same time, providing access to new markets. In this article is proposed, a solution to the problem of the lack of production flow, allowing producers in low-density regions to access markets that until now would be impossible to reach, while providing an solution to the problem of shortage of labour and the increase in abandoned land in Portugal.

Nowadays, flying is a fundamental part of society. Traveling is increasingly accessible, which supports not only the aeronautical industry but also the tourism sector in some regions around the world. However, despite its importance in society in general, where there are more and more airplanes in the air, the aviation industry has also become one of the primary sources of pollution, and when considering entertainment aviation, the problem becomes even more complicated. In recent years, all aeronautical manufacturers have been working on solutions that reduce the sector’s impact on climate change. Landings are of particular importance in the fuel consumption aspect, especially if it is taken into account that for various reasons a pilot may decide to abort the maneuver, meaning a few more kilos of fuel that will be consumed consequently making more pollution. The present work suggests an architecture based on the history of successful landings providing the pilot suggestions to reduce the probability of a go-around.