Abstract-Mobile agent technology has traditionally been recognized as a very useful approach to build applications for mobile computing and wireless environments. However, only a few studies report practical experiences with mobile agents in a mobile medium. This leads us to the following question: can current mobile agent platforms be used effectively in environments with mobile devices?In this paper, we study existing mobile agent platforms by analyzing if they are suitable or not in a mobile environment. We identify some key missing features in the platforms and highlight the requirements and challenges that lie ahead. With this work, we expose existing problems and hope to motivate further research in the area.

Wine farms have to adapt their activities to achieve sustainable development goals. Our goal is to contribute to this adaptation by developing Machine Learning models to predict phenology and pest risk with the aim of reducing applied phytosanitary treatments.

En este artículo corto, presentamos brevemente nuestro trabajo en curso, cuyo objetivo principal es contribuir al desarrollo de técnicas de gestión de datos en entornos móviles, considerando técnicas de procesamiento distribuido, técnicas semánticas y minería de textos. Para ello, nos centramos en el desarrollo de técnicas de recomendación proactivas dependientes del contexto.