???global.info.a_carregar???
Germano Moreira (GM) received a B.S. and an M.Sc. in Agricultural Engineering at Sciences Faculty - University of Porto (FCUP) and is now attending the 1st year of the PhD in Agricultural Sciences, at the same institution. Recently became Research Assistant at Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), TEC4AGRO-FOOD, Centre for Robotics in Industry and Intelligent Systems (CRIIS), as a member of the multidisciplinary team of the Laboratory of Robotics and IoT for Smart Precision Agriculture and Forestry, where he will integrate several projects and develop research on Artificial Intelligence (AI) and Computer Vision (CV) to support different agricultural operations. GM's research interests include various topics in Agronomy and Agricultural Engineering mostly focused on Precision Agriculture (PA) and the implementation of Robotics, AI, CV, and Deep Learning in an agricultural context for Crop monitoring and phenotyping. Throughout his academic journey, he participated in two EU-funded INESC TEC projects: AGRINUPES (Water JPI) - Integrated monitoring and control of water, nutrients and plant protection products towards a sustainable agricultural sector - and ROBOCARE (FEDER) - Robotic Platforms for Intelligent Precision Crops - the latter being the framework for his master's thesis entitled "Tomato Robotic Harvesting in Protected Horticulture: Machine Learning Techniques for Fruit Detection and Classification" which was awarded a final grade of 20/20. GM was the (co)author of 9 scientific publications (ResearchGate) with more than 150 citations - 7 articles, 1 book chapter and 1 conference paper - published in journals listed in JCR-WoS and/or SCOPUS, with one of those publications as the first author being selected for the cover story of Issue 2, Volume 12, of MDPI's journal Agronomy (https://www.mdpi.com/2073-4395/12/2/356). GM is a member of IAAS (International Association of Students of Agriculture and Related Sciences), holding the role of president of the local assembly of the Porto committee from 2019 to 2021. During that period, he entered the "24H Agriculture by Syngenta" competition and was part of the team responsible for organising the "II Journey of Agronomic Engineering FCUP" event. He also participated in events such as "The Digital (R)evolution in Agro-Food and Forestry", "Mechanization and Automation in Slope Viticulture" and attended the "International Summer School Agricultural Robotics", organised by PhenoRob (https://www.phenorob.de/), which allowed him to enhance his knowledge in the Agriculture 4.0 field.
Read full resume ↓
Identification

Personal identification

Full name
Germano Moreira

Citation names

  • Moreira, Germano

Author identifiers

Ciência ID
1912-1907-075B
ORCID iD
0000-0002-1382-8267

Email addresses

  • germano.f.moreira@inesctec.pt (Professional)
  • up201608269@up.pt (Professional)
  • germano.fsm@gmail.com (Personal)

Telephones

Mobile phone
  • 936199519 (Personal)

Addresses

  • Rua Cooperativa de Habitação "O Nosso Jardim" 135, 3º dto, 4470-100, Maia, Maia, Portugal (Personal)

Websites

Knowledge fields

  • Agrarian Sciences - Agriculture, Forestry and Fisheries - Agronomy
  • Agrarian Sciences - Agriculture, Forestry and Fisheries - Horticulture
  • Engineering and Technology

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Upper intermediate (B2) Proficiency (C2)
Education
Degree Classification
2021 - 2024
Ongoing
 Programa Doutoral em Ciências Agrárias (Doutoramento)
Universidade do Porto Faculdade de Ciências, Portugal
2019 - 2021
Concluded
 Engenharia Agronómica (Mestrado)
Universidade do Porto Faculdade de Ciências, Portugal
"Tomato robotic harvesting in protected horticulture: Machine Learning techniques for fruit detection and classification" (THESIS/DISSERTATION)
 17
2016 - 2019
Concluded
 Ciências de Engenharia (Licenciatura)
Major in Engenharia Agronómica
Universidade do Porto Faculdade de Ciências, Portugal
 13
Affiliation

Science

Category
Host institution 		Employer
2022/02 - Current Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2022/09/01 - Current Invited Associate Professor (University Teacher) Universidade do Porto Faculdade de Ciências, Portugal
Universidade do Porto Faculdade de Ciências, Portugal
Projects

Grant

Designation Funders
2022/10/01 - 2025/09/30 Wine4Cast
PRR-C05-i03-I-000071
Researcher
INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, Portugal
 Instituto de Financiamento da Agricultura e Pescas,I.P - IFAP
2022/02/08 - 2023/09/30 Smart-Fertilizers
INESCP-SERV-18/19
Researcher
INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, Portugal
Concluded
2022/02/01 - 2023/06/30 SPIN
POCI-01-0247-FEDER-046997
Researcher
INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, Portugal
 Agência Nacional de Inovação SA

Other

Designation Funders
2020 - 2021 ROBOCARE: Plataformas Robóticas para Culturas Protegidas de Precisão Inteligentes
NORTE-01-0247-FEDER-045289
Curricular Internship
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing
2018 - 2019 AgriNupes
WaterJPI/0001/2016
Curricular Internship
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

GreenUPORTO, Portugal
Concluded
Outputs

Publications

Book chapter
  1. Tiago Cerveira Padilha; Germano Moreira; Sandro Augusto Magalhães; Filipe Neves dos Santos; Mário Cunha; Miguel Oliveira. "Tomato Detection Using Deep Learning for Robotics Application". 2021.
    10.1007/978-3-030-86230-5_3
Conference paper
  1. Germano Moreira; Sandro Augusto Magalhães; Filipe Neves dos Santos; Mário Cunha. "Automated Infield Grapevine Inflorescence Segmentation Based on Deep Learning Models". 2023.
    10.3390/IECAG2023-15387
Conference poster
  1. "Which are the impacts of using drainage from a hydroponic system on lettuce (Lactuca sativa) cultivation?". Paper presented in 13th IJUP - Encontro de Investigação Jovem da Universidade do Porto, 2020.
Journal article
  1. Sandro Costa Magalhães; Luís Castro; Leandro Rodrigues; Tiago Cerveira Padilha; Frederico de Carvalho; Filipe Neves dos Santos; Tatiana Pinho; et al. "Toward Grapevine Digital Ampelometry Through Vision Deep Learning Models". IEEE Sensors Journal (2023): https://doi.org/10.1109/JSEN.2023.3261544.
    10.1109/JSEN.2023.3261544
  2. Isabel Pinheiro; Germano Moreira; Daniel Queirós da Silva; Sandro Magalhães; António Valente; Paulo Moura Oliveira; Mário Cunha; Filipe Santos. "Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions". Agronomy (2023): https://doi.org/10.3390/agronomy13041120.
    10.3390/agronomy13041120
  3. Germano Moreira; Sandro Augusto Magalhães; Tatiana Pinho; Filipe Neves dos Santos; Mário Cunha. "Benchmark of Deep Learning and a Proposed HSV Colour Space Models for the Detection and Classification of Greenhouse Tomato". Agronomy 12 2 (2022): 356-356. https://doi.org/10.3390/agronomy12020356.
    10.3390/agronomy12020356
  4. Santos, Miguel Gomes; Moreira, Germano Silva; Pereira, Ruth; Carvalho, Susana Pinto. "Assessing the Potential Use of Drainage from Open Soilless Production Systems: A Case Study from an Agronomic and Ecotoxicological Perspective". SSRN Electronic Journal (2022): http://dx.doi.org/10.2139/ssrn.3980085.
    10.2139/ssrn.3980085
  5. Sandro Augusto Magalhães; Luís Castro; Germano Moreira; Filipe Neves dos Santos; Mário Cunha; Jorge Dias; António Paulo Moreira. "Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse". Sensors 21 10 (2021): 3569-3569. https://doi.org/10.3390/s21103569.
    10.3390/s21103569

Other

Other output
  1. Evaluating the single-shot MultiBox detector and YOLO deep learning models for the detection of tomatoes in a greenhouse. 2021. Magalhães, S.A.; Castro, L.; Moreira, G.; dos Santos, F.N.; Cunha, M.; Dias, J.; Moreira, A.P.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85115668033&partnerID=MN8TOARS.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2021 Tomato Detection Using Deep Learning for Robotics Application 20th EPIA Conference on Artificial Intelligence
Portuguese Association for Artificial Intelligence (APPIA)

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2019/12/13 - 2019/12/13 II Jornadas da Engenharia Agronómica FCUP (2019/12/13 - 2019/12/13)
Other (Member of the Organising Committee)
 Universidade do Porto Faculdade de Ciências, Portugal

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2020/02/21 - 2020/02/21 Innovation Day - Sustainability across the Food Chain
Universidade Católica Portuguesa Escola Superior de Biotecnologia, Portugal
2020/02/12 - 2020/02/14 13th Encontro de Investigação Jovem (IJUP)
Meeting
Universidade do Porto, Portugal
2019/12/04 - 2019/12/04 Mecanização e Automatização em Viticultura de Encosta
Associação para o Desenvolvimento da Viticultura Duriense, Portugal
2019/11/12 - 2019/11/12 A (R)evolução Digital no Agro-Alimentar e Floresta
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2019/04/06 - 2019/04/07 24H de Agricultura Syngenta

Association member

Society Organization name Role
2019 - Current Member of IAAS Porto (International Association of Students in Agricultural and Related Sciences) President of the Local Assembly

Committee member

Activity description
Role 		Institution / Organization
2019/09 - 2021/09 President of the Local Assembly of IAAS Porto (International Association of Students in Agricultural and Related Sciences)
President / Vice-president

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2021/08/24 - 2021/08/28 International Summer School "Agricultural Robotics" Universität Bonn Landwirtschaftliche Fakultät, Germany
Distinctions

Award

2021 Editor's Choice Article
MDPI AG, Switzerland

Other distinction

2022 Cover Story | Agronomy, Volume 12, Issue 2
MDPI AG, Switzerland