Raul Manuel Pereira Morais dos Santos Integrated Member

CV Ciência Vitae

BIO

Name: Raul Manuel Pereira Morais dos Santos

Aggregation: Integrated Member

Scopus author ID: 7005147700

Orcid ID: 0000-0003-2440-9153

Ciência Vitae: 6112-C54C-DA21

Email: rmorais@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.

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.

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.

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 CNNs and Vision Transformers for Automatic Classification of Abandonment in Douro’s Vineyard Parcels

Leite D., Teixeira I., Morais R., Sousa J.J., Cunha A., (2024) Comparative Analysis of CNNs and Vision Transformers for Automatic Classification of Abandonment in Douro’s Vineyard Parcels Remote Sensing 16 (4581). ISSN: 20724292. doi: 10.3390/rs16234581.

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.

Synthetic Aperture Radar in Vineyard Monitoring: Examples, Demonstrations, and Future Perspectives

Bakon M., Teixeira A.C., Pádua L., Morais R., Papco J., Kubica L., Rovnak M., Perissin D., Sousa J.J., (2024) Synthetic Aperture Radar in Vineyard Monitoring: Examples, Demonstrations, and Future Perspectives Remote Sensing 16 (2106). ISSN: 20724292. doi: 10.3390/rs16122106.

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.

A Systematic Review on Automatic Insect Detection Using Deep Learning

Teixeira A.C., Ribeiro J., Morais R., Sousa J.J., Cunha A., (2023) A Systematic Review on Automatic Insect Detection Using Deep Learning Agriculture (Switzerland) 13 (713). ISSN: 20770472. doi: 10.3390/agriculture13030713.

Can the Segmentation Improve the Grape Varieties’ Identification Through Images Acquired On-Field?

Carneiro G.A., Texeira A., Morais R., Sousa J.J., Cunha A., (2023) Can the Segmentation Improve the Grape Varieties’ Identification Through Images Acquired On-Field? Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 14116 LNAI :351-363. ISSN: 16113349. doi: 10.1007/978-3-031-49011-8_28.

Deep Learning Models for the Classification of Crops in Aerial Imagery: A Review

Teixeira I., Morais R., Sousa J.J., Cunha A., (2023) Deep Learning Models for the Classification of Crops in Aerial Imagery: A Review Agriculture (Switzerland) 13 (965). ISSN: 20770472. doi: 10.3390/agriculture13050965.

Evaluating YOLO Models for Grape Moth Detection in Insect Traps

Teixeira A.C., Carneiro G., Morais R., Sousa J.J., Cunha A., (2023) Evaluating YOLO Models for Grape Moth Detection in Insect Traps International Geoscience and Remote Sensing Symposium (IGARSS) 2023-July :3526-3529. doi: 10.1109/IGARSS52108.2023.10282249.

Segmentation as a Pre-processing for Automatic Grape Moths Detection

Teixeira A.C., Carneiro G.A., Morais R., Sousa J.J., Cunha A., (2023) Segmentation as a Pre-processing for Automatic Grape Moths Detection Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 14116 LNAI :388-398. ISSN: 16113349. doi: 10.1007/978-3-031-49011-8_31.

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.

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.

Using Deep Learning for Detection and Classification of Insects on Traps

Teixeira A.C., Ribeiro J., Neto A., Morais R., Sousa J.J., Cunha A., (2022) Using Deep Learning for Detection and Classification of Insects on Traps International Geoscience and Remote Sensing Symposium (IGARSS) 2022-July :5746-5749. doi: 10.1109/IGARSS46834.2022.9884452.

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.

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 →

I-ReWater - Gestão sustentável dos recursos hídricos na agricultura de regadio no espaço SUDOE

Running

UTAD/CITAB Coordinator / Anabela Silva
Start date / 2024/01 Funding / INTERREG - SUDOE Reference / S1/2.5/E0136

See project details →

MONTEVITIS - Integrating a Comprehensive European Approach for Climate Change Mitigation and Adaptation in Montenegro Viticulture

Running

UTAD/CITAB Coordinator / João Santos
Start date / 2023/01 Funding / European Commission - Horizon Europe Reference / Grant Agreement n.º 101059461

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

See project details →

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

See project details →

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

See project details →

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

See project details →

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"

See project details →

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