Emanuel Soares Peres Correia Integrated Member

CV Ciência Vitae

BIO

Name: Emanuel Soares Peres Correia

Aggregation: Integrated Member

Scopus author ID: 36437418800

Orcid ID: 0000-0001-5669-7976

Ciência Vitae: A218-4EDD-4386

Email: eperes@utad.pt

Research Groups

Technological innovations to support agrarian systems

Publications

Advancing digital ampelography: Automated classification of grapevine varieties

Adão T., Shahrabadi S., Mendes J., Bastardo R., Magalhães L., Morais R., Peres E., (2025) Advancing digital ampelography: Automated classification of grapevine varieties Computers and Electronics in Agriculture 229 (109675). doi: 10.1016/j.compag.2024.109675.

Artificial intelligence as-a-service in agriculture: sketching a scalable platform for multipurpose decision support

Adão T., Lopes R.D., Silva N., Pascoal D., Morais R., Peres E., (2025) Artificial intelligence as-a-service in agriculture: sketching a scalable platform for multipurpose decision support Procedia Computer Science 263 :156-166. ISSN: 18770509. doi: 10.1016/j.procs.2025.07.020.

Conventional and Zero Trust Security Measures for Precision Agriculture Devices: The mySense's VineInspector Case-study

Carvalho L., Adão T., Morais R., Costa A.R., Peres E., (2025) Conventional and Zero Trust Security Measures for Precision Agriculture Devices: The mySense's VineInspector Case-study Procedia Computer Science 256 :246-254. ISSN: 18770509. doi: 10.1016/j.procs.2025.02.118.

Cybersecurity in Precision Agriculture: A short review and a practical status assessment over mySense IoT-based platform

Carvalho N., Adão T., Morais R., Costa A.R., Peres E., (2025) Cybersecurity in Precision Agriculture: A short review and a practical status assessment over mySense IoT-based platform Procedia Computer Science 256 :255-266. ISSN: 18770509. doi: 10.1016/j.procs.2025.02.119.

Democratizing IoT for Smart Irrigation: A Cost-Effective DIY Solution Proposal Evaluated in an Actinidia Orchard

Pascoal D., Adão T., Chojka A., Silva N., Rodrigues S., Peres E., Morais R., (2025) Democratizing IoT for Smart Irrigation: A Cost-Effective DIY Solution Proposal Evaluated in an Actinidia Orchard Algorithms 18 (563). ISSN: 19994893. doi: 10.3390/a18090563.

PROMORE: A Procedural Modeler of Virtual Rural Environments With Artificial Dataset Generation Capabilities for Remote Sensing Contexts

Adao T., Cerqueira J., Adao M., Silva N., Pascoal D., Magalhaes L.G., Barros T., Premebida C., Nunes U.J., Peres E., Morais R., (2025) PROMORE: A Procedural Modeler of Virtual Rural Environments With Artificial Dataset Generation Capabilities for Remote Sensing Contexts IEEE Access 13 :47632-47652. ISSN: 21693536. doi: 10.1109/ACCESS.2025.3548513.

Synthetic Data-Driven Methods to Accelerate the Deployment of Deep Learning Models: A Case Study on Pest and Disease Detection in Precision Viticulture

Adão T., Chojka A., Pascoal D., Silva N., Morais R., Peres E., (2025) Synthetic Data-Driven Methods to Accelerate the Deployment of Deep Learning Models: A Case Study on Pest and Disease Detection in Precision Viticulture Computers 14 (327). ISSN: 2073431X. doi: 10.3390/computers14080327.

Unbalancing Datasets to Enhance CNN Models Learnability: A Class-Wise Metrics-Based Closed-Loop Strategy Proposal

Shahrabadi S., Alves V., Peres E., Morais Dos Santos R., Adao T., (2025) Unbalancing Datasets to Enhance CNN Models Learnability: A Class-Wise Metrics-Based Closed-Loop Strategy Proposal IEEE Access 13 :57485-57503. ISSN: 21693536. doi: 10.1109/ACCESS.2025.3554395.

Zero Trust-based preventative detection of vulnerabilities for IoT-based precision agriculture: A case-study on the mySense platform

Ferreira R., Adão T., Morais R., Costa A.R., Peres E., (2025) Zero Trust-based preventative detection of vulnerabilities for IoT-based precision agriculture: A case-study on the mySense platform Procedia Computer Science 256 :267-275. ISSN: 18770509. doi: 10.1016/j.procs.2025.02.120.

A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection

Portela F., Sousa J.J., Araújo-Paredes C., Peres E., Morais R., Pádua L., (2024) A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection Sensors 24 (8172). ISSN: 14248220. doi: 10.3390/s24248172.

A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticulture

Pascoal D., Silva N., Adão T., Lopes R.D., Peres E., Morais R., (2024) A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticulture Scientific Reports 14 (29793). ISSN: 20452322. doi: 10.1038/s41598-024-80924-y.

Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting

Shahrabadi S., Adão T., Peres E., Morais R., Magalhães L.G., Alves V., (2024) Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting Algorithms 17 (106). ISSN: 19994893. doi: 10.3390/a17030106.

Comparative Analysis of TLS and UAV Sensors for Estimation of Grapevine Geometric Parameters

Ferreira L., Sousa J.J., Lourenço J.M., Peres E., Morais R., Pádua L., (2024) Comparative Analysis of TLS and UAV Sensors for Estimation of Grapevine Geometric Parameters Sensors 24 (5183). ISSN: 14248220. doi: 10.3390/s24165183.

Detection of Leak Areas in Vineyard Irrigation Systems Using UAV-Based Data

Pádua L., Marques P., Dinis L.T., Moutinho-Pereira J., Sousa J.J., Morais R., Peres E., (2024) Detection of Leak Areas in Vineyard Irrigation Systems Using UAV-Based Data Drones 8 (187). ISSN: 2504446X. doi: 10.3390/drones8050187.

The impact of ground control points for the 3D study of grapevines in steep slope vineyards

Stolarski O., Lourenco J.M., Peres E., Morais R., Sousa J.J., Padua L., (2024) The impact of ground control points for the 3D study of grapevines in steep slope vineyards Procedia Computer Science 239 :2301-2307. ISSN: 18770509. doi: 10.1016/j.procs.2024.06.422.

Versatile method for grapevine row detection in challenging vineyard terrains using aerial imagery

Pádua L., Chojka A., Morais R., Peres E., Sousa J.J., (2024) Versatile method for grapevine row detection in challenging vineyard terrains using aerial imagery Computers and Electronics in Agriculture 226 (109372). doi: 10.1016/j.compag.2024.109372.

A deep learning approach for automatic counting of bedbugs and grape moth

Teixeira A.C., Morais R., Sousa J.J., Peres E., Cunha A., (2023) A deep learning approach for automatic counting of bedbugs and grape moth Procedia Computer Science 219 :145-152. ISSN: 18770509. doi: 10.1016/j.procs.2023.01.275.

Acacia dealbata classification from aerial imagery acquired using unmanned aerial vehicles

Pinto J., Sousa A., Sousa J.J., Peres E., Padua L., (2023) Acacia dealbata classification from aerial imagery acquired using unmanned aerial vehicles Procedia Computer Science 219 :626-633. ISSN: 18770509. doi: 10.1016/j.procs.2023.01.332.

Using deep learning for automatic detection of insects in traps

Teixeira A.C., Morais R., Sousa J.J., Peres E., Cunha A., (2023) Using deep learning for automatic detection of insects in traps Procedia Computer Science 219 :153-160. ISSN: 18770509. doi: 10.1016/j.procs.2023.01.276.

Grapevine Varieties Identification Using Vision Transformers

Carneiro G.A., Padua L., Peres E., Morais R., Sousa J.J., Cunha A., (2022) Grapevine Varieties Identification Using Vision Transformers International Geoscience and Remote Sensing Symposium (IGARSS) 2022-July :5866-5869. doi: 10.1109/IGARSS46834.2022.9883286.

Mapping the Leaf Area Index of Castanea sativa Miller Using UAV-Based Multispectral and Geometrical Data

Pádua L., Chiroque-Solano P.M., Marques P., Sousa J.J., Peres E., (2022) Mapping the Leaf Area Index of Castanea sativa Miller Using UAV-Based Multispectral and Geometrical Data Drones 6 (422). ISSN: 2504446X. doi: 10.3390/drones6120422.

Segmentation as a Preprocessing Tool for Automatic Grapevine Classification

Carneiro G.A., Padua L., Peres E., Morais R., Sousa J.J., Cunha A., (2022) Segmentation as a Preprocessing Tool for Automatic Grapevine Classification International Geoscience and Remote Sensing Symposium (IGARSS) 2022-July :6053-6056. doi: 10.1109/IGARSS46834.2022.9884946.

UAV-Based Hyperspectral Monitoring Using Push-Broom and Snapshot Sensors: A Multisite Assessment for Precision Viticulture Applications

Sousa J.J., Toscano P., Matese A., Di Gennaro S.F., Berton A., Gatti M., Poni S., Pádua L., Hruška J., Morais R., Peres E., (2022) UAV-Based Hyperspectral Monitoring Using Push-Broom and Snapshot Sensors: A Multisite Assessment for Precision Viticulture Applications Sensors 22 (6574). doi: 10.3390/s22176574.

VineInspector: The Vineyard Assistant

Mendes J., Peres E., Neves Dos Santos F., Silva N., Silva R., Sousa J.J., Cortez I., Morais R., (2022) VineInspector: The Vineyard Assistant Agriculture (Switzerland) 12 (730). ISSN: 20770472. doi: 10.3390/agriculture12050730.

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

Pádua L., Matese A., Di Gennaro S.F., Morais R., Peres E., Sousa J.J., (2022) Vineyard classification using OBIA on UAV-based RGB and multispectral data: A case study in different wine regions Computers and Electronics in Agriculture 196 (106905). doi: 10.1016/j.compag.2022.106905.

Vineyard variability analysis through UAV-based vigour maps to assess climate change impacts

Pádua L., Marques P., Adão T., Guimarães N., Sousa A., Peres E., Sousa J.J., (2019) Vineyard variability analysis through UAV-based vigour maps to assess climate change impacts Agronomy 9 (581). ISSN: 20734395. doi: 10.3390/agronomy9100581.

Multi-Temporal Analysis of Forestry and Coastal Environments Using UASs.

Padua, Luis; Hruska, Jonas; Bessa, Jose; Adao, Telmo; Martins, Luis M.; Goncalves, Jose A.; Peres, Emanuel; Sousa, Antonio M. R.; Castro, Joao P.; Sousa, Joaquim J. (2018) Multi-Temporal Analysis of Forestry and Coastal Environments Using UASs. Remote Sensing 10 (1). doi: 10.3390/rs10010024. (Impact factor, Quartile: 3.406, Q2).

Projects

LivingSoiLL - Healthy Soil to Permanent Crops Living Labs

Running

Coordinator / Cristina Carlos
Start date / 2024/06 Funding / European Commission - Horizon Europe Reference / GA 101157502

See project details →

SOIL O-LIVE - The Soil Biodiversity and Functionality of Mediterranean Olive Groves: A Holistic Analysis of the Influence of Land Management on Olive Oil Quality and Safety

Running

UTAD/CITAB Coordinator / Joaquim Sousa
Start date / 2023/01 Funding / European Commission - Horizon Europe Reference / Grant Agreement n.º 101091255

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AGROSERV -Integrated Services supporting a sustainable Agroecological transition

Running

Coordinator / Michel Boer UTAD/CITAB Coordinator / Mário Santos
Start date / 2022/09 Funding / European Commission - Horizon Europe Reference / Grant Agreement n.º 101058020

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Vine & Wine PT - Driving Sustainable Growth Through Smart Innovation

Running

Coordinator / Jorge Dias UTAD/CITAB Coordinator / Raul Santos
Start date / 2021/11 Funding / IAPMEI - PRR - Recovery and Resilience Plan / Mobilising Agendas Reference / C644866286-00000011

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DATI – Digital Agriculture Technologies for Irrigation efficiency

Concluded

Coordinator / Alessandro Matese UTAD/CITAB Coordinator / Joaquim Sousa
Start date / 2021/06 Funding / PRIMA - Section II Reference / PRIMA/0007/2020

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ADAPTACLIMA II - Adaptation to Climate Change in SUDOE

Concluded

UTAD/CITAB Coordinator / Ronaldo Gabriel
Start date / 2012/11 Funding / INTERREG - SUDOE Reference / SUDOE "SOE3/P2/E477"

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Patents

Device to determine the risk of occurrence of mildew in productive rows (116205)

Patent nº / 116205

Concession date / 2023-01-13

Researchers / Emanuel Correia , Maria Cortez , Raul Santos

Control and operating system for the aging of fortified, still and late harvest wines, spirits and vinegars (WO 2021/229277 A1)

Patent nº / 229277

Concession date / 2021-01-18

Researchers / Emanuel Correia

Sistema de Controlo e Atuação para o Envelhecimento de Vinhos Fortificados, Tranquilos e de Colheita Tardia, Bebidas Espirituosas e Vinagres, Uso e Métodos Associados

Patent nº / 116379

Concession date / 2024-11-26

Researchers / Emanuel Correia