1
TITLE: Individual Grapevine Analysis in a Multi-Temporal Context Using UAV-Based Multi-Sensor Imagery
AUTHORS: Pádua, ; Adão, ; Sousa, ; Peres, ; Sousa, ;
SOURCE: Remote Sensing, VOLUME: 12, ISSUE: 1, PUBLISHED: 2020
INDEXED IN: CrossRef
IN MY: ORCID
2
TITLE: Classification of an agrosilvopastoral system using RGB imagery from an unmanned aerial vehicle
AUTHORS: Pádua, L; Guimarães, N; Adão, T ; Marques, P; Peres, E ; Sousa, A ; Sousa, JJ ;
SOURCE: 19th EPIA Conference on Artificial Intelligence, EPIA 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11804 LNAI, PUBLISHED: 2019
INDEXED IN: Scopus CrossRef
IN MY: ORCID
3
TITLE: Digital ampelographer: A CNN based preliminary approach
AUTHORS: Adão, T ; Pinho, TM ; Ferreira, A; Sousa, A ; Pádua, L; Sousa, J; Sousa, JJ ; Peres, E ; Morais, R;
SOURCE: 19th EPIA Conference on Artificial Intelligence, EPIA 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11804 LNAI, PUBLISHED: 2019
INDEXED IN: Scopus CrossRef
IN MY: ORCID
4
TITLE: Grapevine varieties classification using machine learning
AUTHORS: Marques, P; Pádua, L; Adão, T ; Hruška, J; Sousa, J; Peres, E ; Sousa, JJ ; Morais, R; Sousa, A ;
SOURCE: 19th EPIA Conference on Artificial Intelligence, EPIA 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11804 LNAI, PUBLISHED: 2019
INDEXED IN: Scopus CrossRef
IN MY: ORCID
5
TITLE: Multi-purpose chestnut clusters detection using deep learning: A preliminary approach
AUTHORS: Adão, T; Pádua, L; Pinho, TM; Hruška, J; Sousa, A ; Sousa, JJ; Morais, R; Peres, E ;
SOURCE: 2019 GeoInformation for Disaster Management, Gi4DM 2019 in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, VOLUME: 42, ISSUE: 3/W8, PUBLISHED: 2019
INDEXED IN: Scopus CrossRef
IN MY: ORCID
6
TITLE: Post-fire forestry recovery monitoring using high-resolution multispectral imagery from unmanned aerial vehicles
AUTHORS: Pádua, L; Adão, T; Guimarães, N; Sousa, A ; Peres, E ; Sousa, JJ;
SOURCE: 2019 GeoInformation for Disaster Management, Gi4DM 2019 in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, VOLUME: 42, ISSUE: 3/W8, PUBLISHED: 2019
INDEXED IN: Scopus CrossRef
IN MY: ORCID
7
TITLE: UAV-Based Automatic Detection and Monitoring of Chestnut Trees  Full Text
AUTHORS: Pedro Marques; Luis Padua; Telmo Adao ; Jonas Hruska; Emanuel Peres ; Antonio Sousa ; Joaquim J Sousa ;
SOURCE: REMOTE SENSING, VOLUME: 11, ISSUE: 7, PUBLISHED: 2019
INDEXED IN: Scopus WOS CrossRef: 7
IN MY: ORCID
8
TITLE: Using virtual scenarios to produce machine learnable environments for wildfire detection and segmentation
AUTHORS: Adão, T; Pinho, TM; Pádua, L; Santos, N; Sousa, A ; Sousa, JJ; Peres, E ;
SOURCE: 2019 GeoInformation for Disaster Management, Gi4DM 2019 in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, VOLUME: 42, ISSUE: 3/W8, PUBLISHED: 2019
INDEXED IN: Scopus CrossRef
IN MY: ORCID
9
TITLE: Vineyard Variability Analysis through UAV-Based Vigour Maps to Assess Climate Change Impacts
AUTHORS: Luis Padua; Pedro Marques; Telmo Adao ; Nathalie Guimaraes; Antonio Sousa ; Emanuel Peres ; Joaquim Joao Sousa ;
SOURCE: AGRONOMY-BASEL, VOLUME: 9, ISSUE: 10, PUBLISHED: 2019
INDEXED IN: Scopus WOS CrossRef: 3
IN MY: ORCID
10
TITLE: DEEP LEARNING-BASED METHODOLOGICAL APPROACH FOR VINEYARD EARLY DISEASE DETECTION USING HYPERSPECTRAL DATA
AUTHORS: Jonas Hruska; Telmo Adao ; Luis Padua ; Pedro Marques; Emanuel Peres ; Antonio Sousa ; Raul Morais ; Joaquim Joao Sousa ;
SOURCE: 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) in IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLUME: 2018-July, PUBLISHED: 2018
INDEXED IN: Scopus WOS DBLP CrossRef
IN MY: ORCID
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