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About

About

Raul Manuel Morais Pereira dos Santos graduated in Electrical Engineering (branch of Electronics, Instrumentation and Computer Science) at the University of Trás-Os-Montes e Alto Douro (UTAD), Portugal, in 1993. He obtained his Master's degree in Industrial Electronics from the University of Minho in 1998 and a PhD degree in Electrical and Computer Engineering (specialty microelectronics) obtained from UTAD in 2004. His aggregation in Electrical and Computer Engineering was obtained in UTAD in 2009. He is currently an Associate Professor with Habilitation at the Engineering Department of the School of Science and Technology of UTAD. His main areas of interest include sensors and sensor interfaces in CMOS microelectronics, energy harvesting techniques to power small and unattended electronic devices and wireless sensor networks in the context of agriculture/precision viticulture. Another area of interest is in the field of biomedical implantable devices, especially in biotelemetry systems regarding vibration microgenerators to produce electric energy inside smart prosthesis. He is currently an integrated member of the Institute of Integrated Systems and Computer Engineering of Porto (INESC-TEC).

Interest
Topics
Details

Details

Publications

2018

Distributed monitoring system for precision enology of the Tawny Port wine aging process

Authors
Morais, R; Peres, E; Boaventura Cunha, J; Mendes, J; Cosme, F; Nunes, FM;

Publication
Computers and Electronics in Agriculture

Abstract

2017

New trends in precision agriculture: a novel cloud-based system for enabling data storage and agricultural task planning and automation

Authors
Pavon Pulido, N; Lopez Riquelme, JA; Torres, R; Morais, R; Pastor, JA;

Publication
PRECISION AGRICULTURE

Abstract
It is well-known that information and communication technologies enable many tasks in the context of precision agriculture. In fact, more and more farmers and food and agriculture companies are using precision agriculture-based systems to enhance not only their products themselves, but also their means of production. Consequently, problems arising from large amounts of data management and processing are arising. It would be very useful to have an infrastructure that allows information and agricultural tasks to be efficiently shared and handled. The cloud computing paradigm offers a solution. In this study, a cloud-based software architecture is proposed with the aim of enabling a complete crop management system to be deployed and validated. Such architecture includes modules developed by using Google App Engine, which allows the information to be easily retrieved and processed and agricultural tasks to be properly defined and planned. Additionally, Google's Datastore (which ensures a high scalability degree), hosts both information that describes such agricultural tasks and agronomic data. The architecture has been validated in a system that comprises a wireless sensor network with fixed nodes and a mobile node on an unmanned aerial vehicle (UAV), deployed in an agricultural farm in the Region of Murcia (Spain). Such a network allows soil water and plant status to be monitored. The UAV (capable of executing missions defined by an administrator) is useful for acquiring visual information in an autonomous manner (under operator supervision, if needed). The system performance has been analysed and results that demonstrate the benefits of using the proposed architecture are detailed.

Supervised
thesis

2017

Avaliação de atividade muscular através de eletromiografia

Author
Inês Filipa Vaz da Silva

Institution
UTAD

2017

Interfaces para sistemas de domótica

Author
Tiago Manuel Afonso Porto

Institution
UTAD

2017

Sistemas de domótica sobre tecnologias sem fios wi-fi

Author
Jorge Miguel Carvalho Gonçalves

Institution
UTAD

2016

Perceção visual semântica de uma vinha para auxilio à navegação de robôs

Author
Jorge Miguel Ferreira da Silva Mendes

Institution
UTAD

2016

Sistema de monitorização do fluxo de seiva em videira

Author
Bárbara Filipa de Carvalho Góis

Institution
UTAD