Pedro Miguel Mota Marques Integrated Member

CV Ciência Vitae

BIO

Name: Pedro Miguel Mota Marques

Aggregation: Integrated Member

Scopus author ID: 57202004723

Orcid ID: 0000-0003-0240-5469

Ciência Vitae: 201B-F209-7A99

Email: pedromarques@utad.pt

Research Groups

Technological innovations to support agrarian systems

Publications

Deep-learning Grapevine Segmentation in UAV Imagery Across Different Vineyard Environments

Leite D., Marques P., Pádua L., Sousa J.J., Morais R., Cunha A., (2026) Deep-learning Grapevine Segmentation in UAV Imagery Across Different Vineyard Environments Pfg Journal of Photogrammetry Remote Sensing and Geoinformation Science 94 :61-80. ISSN: 25122819. doi: 10.1007/s41064-025-00367-6.

Grapevine Canopy Volume Estimation from UAV Photogrammetric Point Clouds at Different Flight Heights

Ferreira L., Marques P., Peres E., Morais R., Sousa J.J., Pádua L., (2026) Grapevine Canopy Volume Estimation from UAV Photogrammetric Point Clouds at Different Flight Heights Remote Sensing 18 (409). ISSN: 20724292. doi: 10.3390/rs18030409.

Integrating UAV Multi-Temporal Imagery and Machine Learning to Assess Biophysical Parameters of Douro Grapevines

Marques P., Ferreira L., Adão T., Sousa J.J., Morais R., Peres E., Pádua L., (2025) Integrating UAV Multi-Temporal Imagery and Machine Learning to Assess Biophysical Parameters of Douro Grapevines Remote Sensing 17 (3915). ISSN: 20724292. doi: 10.3390/rs17233915.

Use of satellite images to estimate olive production

Marques P., Pádua L., Fernandes-Silva A.A., (2025) Use of satellite images to estimate olive production Acta Horticulturae 1 :217-225. ISSN: 24066168. doi: 10.17660/ActaHortic.2025.1433.28.

Advancements in Remote Sensing Imagery Applications for Precision Management in Olive Growing: A Systematic Review

Marques P., Pádua L., Sousa J.J., Fernandes-Silva A., (2024) Advancements in Remote Sensing Imagery Applications for Precision Management in Olive Growing: A Systematic Review Remote Sensing 16 (1324). ISSN: 20724292. doi: 10.3390/rs16081324.

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.

Assessing the Water Status and Leaf Pigment Content of Olive Trees: Evaluating the Potential and Feasibility of Unmanned Aerial Vehicle Multispectral and Thermal Data for Estimation Purposes

Marques P., Pádua L., Sousa J.J., Fernandes-Silva A., (2023) Assessing the Water Status and Leaf Pigment Content of Olive Trees: Evaluating the Potential and Feasibility of Unmanned Aerial Vehicle Multispectral and Thermal Data for Estimation Purposes Remote Sensing 15 (4777). ISSN: 20724292. doi: 10.3390/rs15194777.

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.

Leaf reflectance response to deficit irrigation in olive trees

Marques P., Canas L., Fernandes-Silva A., (2021) Leaf reflectance response to deficit irrigation in olive trees Acta Horticulturae 1327 :625-633. ISSN: 24066168. doi: 10.17660/ACTAHORTIC.2021.1327.82.

Regulated and sustained deficit irrigation: Impacts on yield components of olive trees

Fernandes-Silva A., Canas L., Brito T., Marques P., (2021) Regulated and sustained deficit irrigation: Impacts on yield components of olive trees Acta Horticulturae 1327 :261-268. ISSN: 24066168. doi: 10.17660/ActaHortic.2021.1327.34.

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.