Renan Tosin (B21F-8393-9F03)

Curriculum Vitae

Renan Tosin

Holder of a PhD in Agricultural Sciences and Bachelor's and Master's degrees in Agricultural Engineering, with an international orientation, having studied at UNESP, Brazil, and The University of Adelaide, Australia, where he received the distinguished "Joanne Kanas Memorial Medal." His master's thesis at FCUP centred on vineyard modelling, employing sophisticated remote sensing and machine learning techniques, for which he received a grade of 20/20. He participated in the "WineSpectra" and "VineSpec" technology transfer projects between FCUP and companies in the viticulture sector, focusing on modelling the water status of vineyards in the Douro region using remote sensing techniques. Supported by an FCT scholarship (SFRH/BD/145182/2019), his PhD research focused on applying systems biology in the context of precision agriculture. During his doctoral studies, he was selected for the "9th Advanced Training Course on Land Remote Sensing: Agriculture" by the European Space Agency (ESA) at the renowned Université Catholique de Louvain in Louvain-la-Neuve, Belgium. He was involved in the "Metbots" and "SpecTOM" projects and is currently part of the "Omicbots" and "Phenobots" projects. He is also an invited assistant at the Faculty of Sciences of the University of Porto, where he teaches the courses Applications to Agriculture in the Master's in Remote Sensing and Agriculture courses in the Bachelor's degrees in Agricultural Engineering and Landscape Architecture. He has developed knowledge about the research process (planning, implementation, and communication of results) in academic and corporate contexts.

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Identification

Personal identification

Full name: Renan Tosin
Date of birth: 1992/05/15
Gender: Male

Citation names

Tosin, Renan

Author identifiers

Ciência ID: B21F-8393-9F03
ORCID iD: 0000-0001-7017-9323

Knowledge fields

Agrarian Sciences

Languages

Language	Speaking	Reading	Writing	Listening	Peer-review
Portuguese (Mother tongue)
English	Advanced (C1)	Proficiency (C2)	Proficiency (C2)	Advanced (C1)	Advanced (C1)
Spanish; Castilian	Intermediate (B1)	Intermediate (B1)	Elementary (A2)	Upper intermediate (B2)	Elementary (A2)

Education

	Degree	Classification
2019/12/01 - 2024/05/29 Concluded	Ciências Agrárias (Doutoramento) Major in Sem especialidade Universidade do Porto Faculdade de Ciências, Portugal "Advanced methodologies for the diagnosis of agronomic processes based on systems biology for precision agriculture" (THESIS/DISSERTATION)	Aprovado
2016/09 - 2018/11 Concluded	Engenharia Agronómica (Mestrado) Major in Agricultura de precisão - Deteção remota Universidade do Porto Faculdade de Ciências, Portugal "Monitoring of biophysical parameters in vineyards through hyperspectral reflectance techniques" (THESIS/DISSERTATION)	16/20
2015/09 - 2016/07 Concluded	Engenharia Agronómica (Licenciatura) Instituto Politécnico de Bragança Escola Superior Agrária, Portugal	13/20
2013/06 - 2014/12 Attended	Agricultural science (Bachelor) The University of Adelaide, Australia
2011/02 - 2013/06 Attended	Agronomia (Licence) Universidade Estadual Paulista Júlio de Mesquita Filho Câmpus de Botucatu Faculdade de Ciências Agronômicas, Brazil

Affiliation

Science

	Category Host institution	Employer
2019/06/01 - 2019/11/30	Researcher (Research)	Universidade do Porto Faculdade de Ciências, Portugal
	Universidade do Porto Faculdade de Ciências, Portugal
2018/01 - 2019/02	Researcher (Research)	Universidade do Porto Faculdade de Ciências, Portugal

2017/02 - 2017/08	Research Trainee (Research)	Universidade do Porto Faculdade de Ciências, Portugal

2012/02 - 2013/07	Research Trainee (Research)	Universidade Estadual Paulista Júlio de Mesquita Filho Câmpus de Botucatu Faculdade de Ciências Agronômicas, Brazil

Teaching in Higher Education

	Category Host institution	Employer
2019/02 - 2024/08	Invited Assistant (University Teacher)	Universidade do Porto Faculdade de Ciências, Portugal

Projects

Grant

	Designation	Funders
2019/12/01 - 2023/11/30	Metodologias avançadas de diagnóstico de processos agronómicos em biologia de sistemas para a agricultura de precisão” em inglês, Advanced methodologies for the diagnosis of agronomic processes based on systems biology for precision agriculture. ; Modelos preditivos da produtividade SFRH/BD/145182/2019 PhD Student Fellow Universidade do Porto Faculdade de Ciências, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2018/02 - 2019/02	VineSpec - Utilização da reflectância hiperspectral para estimativa da condição hídrica da videira baseada no potencial hídrico de base PP-IJUP2017-SOGRAPE-28 Research Fellow Universidade do Porto, Portugal	Fundação Amadeu Dias Concluded
2012/02 - 2013/07	Influência da densidade de semeadura sobre variáveis biométricas e produtividade da cultura da soja 800124/2012-0 Scientific Initiation Fellow Universidade Estadual Paulista Júlio de Mesquita Filho Câmpus de Botucatu Faculdade de Ciências Agronômicas, Brazil	Conselho Nacional de Desenvolvimento Científico e Tecnológico Concluded

Contract

	Designation	Funders
2022/01/16 - 2025/01/15	OmicBots: Plataforma Integrativa Robotica de Ómicas para uma Viticultura de Precisão baseada numa Nova Geração de Viticultura de Precisão PTDC/ASP-HOR/1338/2021 10.54499/PTDC/ASP-HOR/1338/2021 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal Rede de Química e Tecnologia Laboratório Associado para a Química Verde, Portugal Universidade do Porto Faculdade de Ciências, Portugal	Fundação para a Ciência e a Tecnologia Ongoing
2020/06 - 2021/09	Metbots PTDC/EEI-ROB/31124/2017 Researcher	Fundação para a Ciência e a Tecnologia Concluded

Other

	Designation	Funders
2017/06 - 2018/11	WineSpectra - Calibrar e avaliar um modelo para a avaliação da condição hídrica da videira, baseado em técnicas de medição da reflectância das plantas com espectroradiómetro portátil ADVID-FCUP Other	Concluded

Outputs

Publications

Conference abstract	Tosin, Renan; Filipe Monteiro-Silva; Reis-Pereira, Mafalda; Testa, Valeria; Pedro Jorge; Miguel Ferreira; Filipe Santos; et al. "Laser induced breakdown spectroscopy for monitoring Vitis-vinifera nutritional uptake and grape maturity evaluation". Paper presented in 11th Euro-Mediterranean Symposium on Laser-Induced Breakdown Spectroscopy 2021, Gijón, 2021. Tosin, Renan; Novo, Helena; Teixeira, Jorge; Pôças, Isabel; Graça, António; Fontes, Natacha; Marçal, André RS; Cunha, Mario. "Using field hyperspectral-spectrometry and pigment’s concentration to determine predawn leaf water potential in Douro Region". Paper presented in 12.º Encontro de Jovens Investigadores da U.PORTO, Porto, 2019. Published Novo, Helena; Tosin, Renan; Teixeira, Jorge; Pôças, Isabel; Graça, António; Fontes, Natacha; Cunha, Mario. "Assessing grapevine water status from hyperspectral signatures using machine learning algorithms: a new framework tested in Douro wine region". Paper presented in 12.º Encontro de Jovens Investigadores da U.PORTO, Porto, 2019. Published Tosin, Renan; Pôças, Isabel; Cunha, Mário. "Remote sensing techniques on assessment of application of kaolin in leaves of Vitis vinifera L.". Paper presented in 11.º Encontro de Jovens Investigadores da U.PORTO, Porto, 2018. Published Tosin, Renan; Pôças, Isabel; Cunha, Mário. "Spectral and Thermal Data for Assessing Kaolin Film Application in Leaves of Vitis Vinifera L.". Paper presented in Actas de Horticultura / Sociedad Española de Ciencias Hortícolas, Comunicaciones 78, Lugo, 2018. Published
Conference paper	Maria Santos-Campos; Renan Tosin; Leandro Rodrigues; Igor Gonçalves; Catarina Barbosa; Rui Martins; Filipe Santos; Mário Cunha. "Enhancing Grape Brix Prediction in Precision Viticulture: A Benchmarking Study of Predictive Models Using Hyperspectral Proximal Sensors". 2023. 10.3390/IECAG2023-15914 Erica David; Renan Tosin; Igor Gonçalves; Leandro Rodrigues; Catarina Barbosa; Filipe Santos; Hugo Pinheiro; Rui Martins; Mario Cunha. "In-Field Hyperspectral Proximal Sensing for Estimating Grapevine Water Status to Support Smart Precision Viticulture". 2023. 10.3390/IECAG2023-15871 Renan Tosin; Filipe Monteiro-Silva; Rui Martins; Mario Cunha. "LIBS-Based Analysis of Elemental Composition in Skin, Pulp, and Seeds of White and Red Grape Cultivars". 2023. 10.3390/CSAC2023-14918 Mafalda Reis-Pereira; Renan Tosin; Rui C. Martins; Filipe Neves Dos Santos; Fernando Tavares; Mário Cunha. "Enhancing Kiwi Bacterial Canker Leaf Assessment: Integrating Hyperspectral-Based Vegetation Indexes in Predictive Modeling". 2023. 10.3390/CSAC2023-14920 Igor Portis; Renan Tosin; Paulo R. Oliveira-Pinto; Leandro Pereira-Dias; Conceição Santos; Rui Martins; Mário Cunha. "Exploring the Impact of Water Stress on Grapevine Gene Expression and Polyphenol Production: Insights for Developing a Systems Biology Model". 2023. 10.3390/CSAC2023-14917 Tosin, Renan; Rui Martins; Isabel Pôças; Mario Cunha. "Hyperspectral proximal sensing of pigments and leaf water content in grapevine in Douro region". Paper presented in SIbEH 2022 - III Simpósio Ibérico de Engenharia Hortícola 2022, Cartagena, 2022. Cunha, Mario; Tosin, Renan; Novo, Helena; Teixeira, Jorge; Fontes, Natacha; Graça, António; Pôças, Isabel. "Integração da reflectância hiperespectral e do conteúdo de pigmentos da folha para estimativa do potencial hídrico foliar de base da videira na Região do Douro". Paper presented in SIbEH 2020 - II Simpósio Ibérico de Engenharia Hortícola 2020, Ponte de Lima, 2020. Published Tosin, Renan; Novo, Helena; Pôças, Isabel; Teixeira, Jorge; Fontes, Natcha; GRAÇA, ANTONIO; Cunha, Mario. "Assessing grapevine predawn leaf water potential from hyperspectral signatures and pigment’s using machine learning algorithms: a framework tested in Douro wine region". Paper presented in Digital Agro-Food & Forestry (r)evolution, 2019. Published
Conference poster	Igor Portis; Tosin, Renan; Oliveira-Pinto, Paulo R.; Pereira-Dias, Leandro; Conceição Santos; Rui Martins; Mário Cunha. "(Coauthor) Leveraging digital twin-based system biology for improved omics diagnosis of grapevine physiology and metabolic pathways under abiotic stress". Paper presented in The 2nd International Electronic Conference on Chemical Sensors and Analytical Chemistry, 2023. Tosin, R; Soares, ACS; Bianchi, L; Silva, MA. "Influência Da Densidade De Semeadura Sobre A Produtividade Da Cultura Da Soja". Paper presented in XXV Congresso de Iniciação Científica da Unesp, 2013.
Journal article	Tosin, Renan; Portis, Igor; Rodrigues, Leandro; Gonçalves, Igor; Barbosa, Catarina; Teixeira, Jorge; Mendes, R.J.; et al. "Integrating Spectral Sensing and Systems Biology for Precision Viticulture: Effects of Shade Nets on Grapevine Leaves". Horticulturae 10 8 (2024): 873. https://doi.org/10.3390/horticulturae10080873. Published Mafalda Reis Pereira; Jochem Verrelst; Renan Tosin; Juan Pablo Rivera Caicedo; Fernando Tavares; Filipe Neves dos Santos; Mário Cunha. "Plant Disease Diagnosis Based on Hyperspectral Sensing: Comparative Analysis of Parametric Spectral Vegetation Indices and Nonparametric Gaussian Process Classification Approaches". Agronomy (2024): https://doi.org/10.3390/agronomy14030493. 10.3390/agronomy14030493 Renan Tosin; Mario Cunha; Filipe Monteiro-Silva; Filipe Santos; Teresa Barroso; Rui Martins. "Bi-directional hyperspectral reconstruction of cherry tomato: diagnosis of internal tissues maturation stage and composition". Frontiers in Plant Science 15 (2024): https://doi.org/10.3389/fpls.2024.1351958. Open access • 10.3389/fpls.2024.1351958 Renan Tosin; Filipe Monteiro-Silva; Rui Martins; Mario Cunha. "A New Approach for Element Characterization of Grapevine Tissue with Laser-Induced Breakdown Spectroscopy". Horticulturae (2024): https://doi.org/10.3390/horticulturae10010082. 10.3390/horticulturae10010082 Renan Tosin; Filipe Monteiro-Silva; Rui Martins; Mario Cunha. "Precision maturation assessment of grape tissues: Hyperspectral bi-directional reconstruction using tomography-like based on multi-block hierarchical principal component analysis". Biosystems Engineering (2023): https://doi.org/10.1016/j.biosystemseng.2023.10.011. 10.1016/j.biosystemseng.2023.10.011 Mafalda Reis-Pereira; Renan Tosin; Rui Martins; Filipe Neves dos Santos; Fernando Tavares; Mário Cunha. "Kiwi Plant Canker Diagnosis Using Hyperspectral Signal Processing and Machine Learning: Detecting Symptoms Caused by Pseudomonas syringae pv. actinidiae". Plants (2022): https://doi.org/10.3390/plants11162154. 10.3390/plants11162154 Renan Tosin; Rui Martins; Isabel Pôças; Mario Cunha. "Canopy VIS-NIR spectroscopy and self-learning artificial intelligence for a generalised model of predawn leaf water potential in Vitis vinifera". Biosystems Engineering 219 (2022): 235-258. https://doi.org/10.1016/j.biosystemseng.2022.05.007. 10.1016/j.biosystemseng.2022.05.007 Renan Tosin; Isabel Pôças; Helena Novo; Jorge Teixeira; Natacha Fontes; António Graça; Mario Cunha. "Assessing predawn leaf water potential based on hyperspectral data and pigment’s concentration of Vitis vinifera L. in the Douro Wine Region". Scientia Horticulturae 278 (2021): 109860-109860. https://doi.org/10.1016/j.scienta.2020.109860. 10.1016/j.scienta.2020.109860 Tosin, Renan; Pôças, Isabel; Gonçalves, Igor ; Cunha, Mário. "Estimation of grapevine predawn leaf water potential based on hyperspectral reflectance data in Douro wine region". Vitis - Journal of Grapevine Research 59 1 (2020): 9-18. https://doi.org/10.5073/vitis.2020.59.9-18. Open access • Published • https://doi.org/10.5073/vitis.2020.59.9-18 Pôças, Isabel; Tosin, Renan; Gonçalves, Igor ; Cunha, Mario. "Toward a generalized hyperspectral based predictive model of grapevine water status in Douro region from hyperspectral data". Agricultural and Forest Meteorology (2020): https://doi.org/10.1016/j.agrformet.2019.107793. Published • https://doi.org/10.1016/j.agrformet.2019.107793 Tosin, Renan; Pôças, Isabel; Cunha, Mário. "Spectral and thermal data as a proxy for leaf protective energy dissipation under kaolin application in grapevine cultivars". Open Agriculture 4 1 (2019): 294-304. http://dx.doi.org/10.1515/opag-2019-0028. Open access • 10.1515/opag-2019-0028
Thesis / Dissertation	Tosin, Renan; Renan Tosin. "Monitoring of biophysical parameters in vineyards through hyperspectral reflectance techniques". Master, Universidade do Porto Faculdade de Ciências, 2018. https://repositorio-aberto.up.pt/handle/10216/118739.

Intellectual property

Patent

Martins, Rui Costa; Neves dos Santos, Filipe; Cunha, Mario; Filipe Monteiro-Silva; Tosin, Renan; MAGALHÃES, SANDRO; Mafalda Reis Pereira. 2023. "Method and device for non-invasive tomographic characterisation of a sample comprising a plurality of differentiated tissues".
Granted/Issued

Activities

Oral presentation

	Presentation title	Event name Host (Event location)
2023/06/06	Tomography-like for hyperspectral bi-directional grape tissue reconstruction based on machine learning: implications for diagnosis composition and precision maturation monitoring	44th World Congress of Vine and Wine of the International Organisation of Vine and Wine (OIV) International Organisation of Vine and Wine (OIV) (Cadiz, Spain)
2022/04	Hyperspectral proximal sensing of pigments and leaf water content in grapevine in Douro region	SIbEH 2022 - III Simpósio Ibérico de Engenharia Hortícola 2022. Universidad Politécnica de Cartagena (Cartagena, Spain)
2020/03/04	Integração da reflectância hiperespectral e do conteúdo de pigmentos da folha para estimativa do potencial hídrico foliar de base da videira na Região do Douro	SIbEH2020 - II Simpósio Ibérico de Engenharia Hortícola 2020 (Ponte de Lima, Portugal)
2019/12/13	Assessing grapevine predawn leaf water potential from hyperspectral signatures and pigment’s using machine learning algorithms: a framework tested in Douro wine region	Digital Agro-Food & Forestry (r)evolution (Vila Real, Portugal)
2019/09/17	Estimating Predawn Leaf Water Potential Through Hyperspectral Data And Pigment’s Concentration In The Douro Wine Region	publication description9th ESA Advanced Training Course on Land Remote Sensing: Agriculture Université catholique de Louvain (Louvain-la-Neuve, Belgium)
2019/02/12	Using field hyperspectral-spectrometry and pigment’s concentration to determine predawn leaf water potential in Douro Region	12.º Encontro de Jovens Investigadores da U.PORTO Reitoria da Universidade do Porto (Porto, Portugal)
2018/02/08	Remote sensing techniques on assessment of application of kaolin in leaves of Vitis vinifera L.	11.º Encontro de Jovens Investigadores da Universidade do Porto Faculdade de Medicina da Universidade do Porto (Porto, Portugal)

Supervision

	Thesis Title Role	Degree Subject (Type) Institution / Organization
2020/02 - 2020/09	Modelação e mapeamento de atributos biofísicos da vinha com base em dados de satélites de observação da terra numa ótica de Viticultura de precisão Co-supervisor of Bruno Filipe Leites Neto	Licenciatura em Engenharia Agronómica (Degree) Universidade do Porto Faculdade de Ciências, Portugal
2020/02 - 2020/09	Modelação e mapeamento do conteúdo do conteúdo de pigmentos da vinha com base em dados de satélites de observação da terra numa ótica de Viticultura de Precisão Co-supervisor of Diogo Padrão Pinto	Licenciatura em Engenharia Agronómica (Degree) Universidade do Porto Faculdade de Ciências, Portugal

Event participation

	Activity description Type of event	Event name Institution / Organization
2019/09/16 - 2019/09/20	Este curso foi dedicado à próxima geração de cientistas na área de Observação da Terra e especialistas em agricultura e segurança alimentar que utilizam dados de Observação da Terra (e.g. the Copernicus Sentinels) para o desenvolvimento da ciência e aplicações na agricultura. Este curso é parte da ESA’s EO Science for Society – Scientific Exploitation element of EOEP-5 (the fifth cycle of ESA’s Earth Observation Envelope Programme) Workshop	9th ESA Advanced Training Course on Land Remote Sensing: Agriculture Université catholique de Louvain, Belgium

Course / Discipline taught

	Academic session	Degree Subject (Type)	Institution / Organization
2020/02 - Current	Agricultura Geral e Mecanização II	Licenciatura em Engenharia Agronómica	Universidade do Porto Faculdade de Ciências, Portugal
2019/02 - Current	Aplicações à Agricultura	Mestrado em Deteção Remota (Mestrado)	Universidade do Porto Faculdade de Ciências, Portugal
2019/09 - 2020/08	Agricultura Geral e Mecanização I	Licenciatura em Engenharia Agronómica (Licenciatura)	Universidade do Porto Faculdade de Ciências, Portugal
2019/09 - 2020/02	Agricultura I	Licenciatura em Arquitectura Paisagista	Universidade do Porto Faculdade de Ciências, Portugal
2019/02 - 2019/08	Agricultura Geral II	Ciências de Engenharia (Licenciatura)	Universidade do Porto Faculdade de Ciências, Portugal

Mentoring / Tutoring

	Topic	Student name
2021/12 - 2022/09	Monitorização da condição hídrica do milho utilizando um modelo preditivo baseado em técnicas de deteção remota	Diogo Padrão Pinto

Distinctions

Award

2022	Prémio Empreendedorismo e Inovação Crédito Agrícola 2021 Crédito Agrícola, Portugal
2020	Prémio de Melhor Comunicação SIbEH2020 - II Simpósio Ibérico de Engenharia Hortícola 2020, Portugal
2017	Projeto para Criação de Horta Biológica Douro Palace Resort & Spa, Portugal JASE - Empreendimentos Turísticos, Lda., Portugal
2016	Pitch by Start Up Programme Junior Achievement Portugal, Portugal
2014	Joanne Kanas Memorial Medal The University of Adelaide, Australia