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About

Emanuel Soares Peres Correia is an assistant professor at Trás-os-Montes e Alto Douro University (UTAD) in Portugal. He has been lecturing in areas such as web development, electronics, power electronics, telecommunications and computer networks since 2003. He is an integrated researcher at the Centre for Robotics in Industry and Intelligent Systems (CRIIS) in Technology and Science Associate Laboratory (INESC-TEC) and his research focuses on combining sensing networks, in-field processing units and mesh communication networks to develop data acquisition systems which enable decision support tools for precision agriculture. Human–Machine interaction, namely augmented reality systems and new interfaces, in areas such as education, agriculture and tourism, is also an area of interest. His research has been presented at international conferences such as CENTERIS, EDUCON, CISTI, CSEDU and SPIE and he has been published in the e.g. Journal of Computers and Electronics in Agriculture, Journal of Remote Sensing, International Journal of Remote Sensing, Journal of Theoretical and Applied Electronic Commerce Research, Journal of Applied Logic and Procedia Technology. He is an Editor-in-Chief of the International Journal of Web Portals (IJWP) since November 2016. As a member of UTAD’s Urban Eco-Efficiency Unit, he is currently involved in several research projects mainly related with the application of UAV in agriculture and forestry.

Interest
Topics
Details

Details

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Publications

2022

Vineyard classification using OBIA on UAV-based RGB and multispectral data: A case study in different wine regions

Authors
Pádua, L; Matese, A; Di Gennaro, SF; Morais, R; Peres, E; Sousa, JJ;

Publication
Computers and Electronics in Agriculture

Abstract

2022

CENTERIS 2021 - International Conference on ENTERprise Information Systems / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021 - International Conference on Health and Social Care Information Systems and Technologies 2021, Braga, Portugal

Authors
Cruz Cunha, MM; Martinho, R; Rijo, R; Domingos, D; Peres, E;

Publication
CENTERIS/ProjMAN/HCist

Abstract

2021

Preface

Authors
Cruz Cunha, MM; Martinho, R; Rijo, R; Peres, E; Domingos, D; Mateus Coelho, N;

Publication
Procedia Computer Science

Abstract

2021

A Versatile, Low-Power and Low-Cost IoT Device for Field Data Gathering in Precision Agriculture Practices

Authors
Morais, R; Mendes, J; Silva, R; Silva, N; Sousa, JJ; Peres, E;

Publication
Agriculture

Abstract
Spatial and temporal variability characterization in Precision Agriculture (PA) practices is often accomplished by proximity data gathering devices, which acquire data from a wide variety of sensors installed within the vicinity of crops. Proximity data acquisition usually depends on a hardware solution to which some sensors can be coupled, managed by a software that may (or may not) store, process and send acquired data to a back-end using some communication protocol. The sheer number of both proprietary and open hardware solutions, together with the diversity and characteristics of available sensors, is enough to deem the task of designing a data acquisition device complex. Factoring in the harsh operational context, the multiple DIY solutions presented by an active online community, available in-field power approaches and the different communication protocols, each proximity monitoring solution can be regarded as singular. Data acquisition devices should be increasingly flexible, not only by supporting a large number of heterogeneous sensors, but also by being able to resort to different communication protocols, depending on both the operational and functional contexts in which they are deployed. Furthermore, these small and unattended devices need to be sufficiently robust and cost-effective to allow greater in-field measurement granularity 365 days/year. This paper presents a low-cost, flexible and robust data acquisition device that can be deployed in different operational contexts, as it also supports three different communication technologies: IEEE 802.15.4/ZigBee, LoRa/LoRaWAN and GRPS. Software and hardware features, suitable for using heat pulse methods to measure sap flow, leaf wetness sensors and others are embedded. Its power consumption is of only 83 µA during sleep mode and the cost of the basic unit was kept below the EUR 100 limit. In-field continuous evaluation over the past three years prove that the proposed solution—SPWAS’21—is not only reliable but also represents a robust and low-cost data acquisition device capable of gathering different parameters of interest in PA practices.

2021

Prototyping IoT-Based Virtual Environments: An Approach toward the Sustainable Remote Management of Distributed Mulsemedia Setups

Authors
Adao, T; Pinho, T; Padua, L; Magalhaes, LG; Sousa, JJ; Peres, E;

Publication
Applied Sciences

Abstract
Business models built upon multimedia/multisensory setups delivering user experiences within disparate contexts—entertainment, tourism, cultural heritage, etc.—usually comprise the installation and in-situ management of both equipment and digital contents. Considering each setup as unique in its purpose, location, layout, equipment and digital contents, monitoring and control operations may add up to a hefty cost over time. Software and hardware agnosticity may be of value to lessen complexity and provide more sustainable management processes and tools. Distributed computing under the Internet of Things (IoT) paradigm may enable management processes capable of providing both remote control and monitoring of multimedia/multisensory experiences made available in different venues. A prototyping software to perform IoT multimedia/multisensory simulations is presented in this paper. It is fully based on virtual environments that enable the remote design, layout, and configuration of each experience in a transparent way, without regard of software and hardware. Furthermore, pipelines to deliver contents may be defined, managed, and updated in a context-aware environment. This software was tested in the laboratory and was proven as a sustainable approach to manage multimedia/multisensory projects. It is currently being field-tested by an international multimedia company for further validation.

Supervised
thesis

2020

Automatic analysis of UAS-based multi-temporal data as support to a precision agroforestry management system

Author
Luís Filipe Machado Pádua

Institution
UTAD

2020

Elearning implementation at small universities

Author
Carlos Manuel Rodrigues Soares Vaz

Institution
UTAD

2020

Hyperspectral data analysis for agriculture applications

Author
Jonas Hruska

Institution
UTAD

2020

Sistemas cognitivos de interpretação inteligente em contexto agro-florestal

Author
Miguel Moreira da Silva Lima Barbosa

Institution
UP-FCUP

2019

Desenvolvimento de front-end para aplicações web: estágio na Empresa Mindera-Relatório de Estágio

Author
Sofia Bárbara Pires Gomes

Institution
UTAD